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Modern analytical chemistry

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Tiến Đồng Sỹ
Tiến Đồng Sỹ

This document provides an e-book as a gift to Vietnamese students. It contains information about downloading the e-book from a website. The e-book is titled "Modern Analytical Chemistry" and was written by David Harvey from DePauw University. It discusses various topics in analytical chemistry such as units of measurement, chemical equilibrium, methods of analysis, and evaluating analytical data.

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Boston Burr Ridge, IL Dubuque, IA Madison, WI New York San Francisco St. Louis Bangkok Bogotá Caracas Lisbon London Madrid Mexico City Milan New Delhi Seoul Singapore Sydney Taipei Toronto CChheemmiissttrryyModern Analytical Chemistry David Harvey DePauw University 1400-Fm 9/9/99 7:37 AM Page i
MODERN ANALYTICAL CHEMISTRY Copyright © 2000 by The McGraw-Hill Companies, Inc. All rights reserved. Printed in the United States of America. Except as permitted under the United States Copyright Act of 1976, no part of this publication may be reproduced or distributed in any form or by any means, or stored in a data base or retrieval system, without the prior written permission of the publisher. This book is printed on acid-free paper. 1 2 3 4 5 6 7 8 9 0 KGP/KGP 0 9 8 7 6 5 4 3 2 1 0 ISBN 0–07–237547–7 Vice president and editorial director: Kevin T. Kane Publisher: James M. Smith Sponsoring editor: Kent A. Peterson Editorial assistant: Jennifer L. Bensink Developmental editor: Shirley R. Oberbroeckling Senior marketing manager: Martin J. Lange Senior project manager: Jayne Klein Production supervisor: Laura Fuller Coordinator of freelance design: Michelle D. Whitaker Senior photo research coordinator: Lori Hancock Senior supplement coordinator: Audrey A. Reiter Compositor: Shepherd, Inc. Typeface: 10/12 Minion Printer: Quebecor Printing Book Group/Kingsport Freelance cover/interior designer: Elise Lansdon Cover image: © George Diebold/The Stock Market Photo research: Roberta Spieckerman Associates Colorplates: Colorplates 1–6, 8, 10: © David Harvey/Marilyn E. Culler, photographer; Colorplate 7: Richard Megna/Fundamental Photographs; Colorplate 9: © Alfred Pasieka/Science Photo Library/Photo Researchers, Inc.; Colorplate 11: From H. Black, Environ. Sci. Technol., 1996, 30, 124A. Photos courtesy D. Pesiri and W. Tumas, Los Alamos National Laboratory; Colorplate 12: Courtesy of Hewlett-Packard Company; Colorplate 13: © David Harvey. Library of Congress Cataloging-in-Publication Data Harvey, David, 1956– Modern analytical chemistry / David Harvey. — 1st ed. p. cm. Includes bibliographical references and index. ISBN 0–07–237547–7 1. Chemistry, Analytic. I. Title. QD75.2.H374 2000 543—dc21 99–15120 CIP INTERNATIONAL EDITION ISBN 0–07–116953–9 Copyright © 2000. Exclusive rights by The McGraw-Hill Companies, Inc. for manufacture and export. This book cannot be re-exported from the country to which it is consigned by McGraw-Hill. The International Edition is not available in North America. www.mhhe.com McGraw-Hill Higher Education A Division of The McGraw-Hill Companies 1400-Fm 9/9/99 7:37 AM Page ii
iii ContentsContents Preface xii Chapter 1 Introduction 1 1A What is Analytical Chemistry? 2 1B The Analytical Perspective 5 1C Common Analytical Problems 8 1D Key Terms 9 1E Summary 9 1F Problems 9 1G Suggested Readings 10 1H References 10 Chapter 2 Basic Tools of Analytical Chemistry 11 2A Numbers in Analytical Chemistry 12 2A.1 Fundamental Units of Measure 12 2A.2 Significant Figures 13 2B Units for Expressing Concentration 15 2B.1 Molarity and Formality 15 2B.2 Normality 16 2B.3 Molality 18 2B.4 Weight, Volume, and Weight-to-Volume Ratios 18 2B.5 Converting Between Concentration Units 18 2B.6 p-Functions 19 2C Stoichiometric Calculations 20 2C.1 Conservation of Mass 22 2C.2 Conservation of Charge 22 2C.3 Conservation of Protons 22 2C.4 Conservation of Electron Pairs 23 2C.5 Conservation of Electrons 23 2C.6 Using Conservation Principles in Stoichiometry Problems 23 2D Basic Equipment and Instrumentation 25 2D.1 Instrumentation for Measuring Mass 25 2D.2 Equipment for Measuring Volume 26 2D.3 Equipment for Drying Samples 29 2E Preparing Solutions 30 2E.1 Preparing Stock Solutions 30 2E.2 Preparing Solutions by Dilution 31 2F The Laboratory Notebook 32 2G Key Terms 32 2H Summary 33 2I Problems 33 2J Suggested Readings 34 2K References 34 Chapter 3 The Language of Analytical Chemistry 35 3A Analysis, Determination, and Measurement 36 3B Techniques, Methods, Procedures, and Protocols 36 3C Classifying Analytical Techniques 37 3D Selecting an Analytical Method 38 3D.1 Accuracy 38 3D.2 Precision 39 3D.3 Sensitivity 39 3D.4 Selectivity 40 3D.5 Robustness and Ruggedness 42 3D.6 Scale of Operation 42 3D.7 Equipment, Time, and Cost 44 3D.8 Making the Final Choice 44 1400-Fm 9/9/99 7:37 AM Page iii
iv Modern Analytical Chemistry 4E.4 Errors in Significance Testing 84 4F Statistical Methods for Normal Distributions 85 4F.1 Comparing – X to µ 85 4F.2 Comparing s2 to σ2 87 4F.3 Comparing Two Sample Variances 88 4F.4 Comparing Two Sample Means 88 4F.5 Outliers 93 4G Detection Limits 95 4H Key Terms 96 4I Summary 96 4J Suggested Experiments 97 4K Problems 98 4L Suggested Readings 102 4M References 102 Chapter 5 Calibrations, Standardizations, and Blank Corrections 104 5A Calibrating Signals 105 5B Standardizing Methods 106 5B.1 Reagents Used as Standards 106 5B.2 Single-Point versus Multiple-Point Standardizations 108 5B.3 External Standards 109 5B.4 Standard Additions 110 5B.5 Internal Standards 115 5C Linear Regression and Calibration Curves 117 5C.1 Linear Regression of Straight-Line Calibration Curves 118 5C.2 Unweighted Linear Regression with Errors in y 119 5C.3 Weighted Linear Regression with Errors in y 124 5C.4 Weighted Linear Regression with Errors in Both x and y 127 5C.5 Curvilinear and Multivariate Regression 127 5D Blank Corrections 128 5E Key Terms 130 5F Summary 130 5G Suggested Experiments 130 5H Problems 131 5I Suggested Readings 133 5J References 134 3E Developing the Procedure 45 3E.1 Compensating for Interferences 45 3E.2 Calibration and Standardization 47 3E.3 Sampling 47 3E.4 Validation 47 3F Protocols 48 3G The Importance of Analytical Methodology 48 3H Key Terms 50 3I Summary 50 3J Problems 51 3K Suggested Readings 52 3L References 52 Chapter 4 Evaluating Analytical Data 53 4A Characterizing Measurements and Results 54 4A.1 Measures of Central Tendency 54 4A.2 Measures of Spread 55 4B Characterizing Experimental Errors 57 4B.1 Accuracy 57 4B.2 Precision 62 4B.3 Error and Uncertainty 64 4C Propagation of Uncertainty 64 4C.1 A Few Symbols 65 4C.2 Uncertainty When Adding or Subtracting 65 4C.3 Uncertainty When Multiplying or Dividing 66 4C.4 Uncertainty for Mixed Operations 66 4C.5 Uncertainty for Other Mathematical Functions 67 4C.6 Is Calculating Uncertainty Actually Useful? 68 4D The Distribution of Measurements and Results 70 4D.1 Populations and Samples 71 4D.2 Probability Distributions for Populations 71 4D.3 Confidence Intervals for Populations 75 4D.4 Probability Distributions for Samples 77 4D.5 Confidence Intervals for Samples 80 4D.6 A Cautionary Statement 81 4E Statistical Analysis of Data 82 4E.1 Significance Testing 82 4E.2 Constructing a Significance Test 83 4E.3 One-Tailed and Two-Tailed Significance Tests 84 1400-Fm 9/9/99 7:37 AM Page iv
Contents v Chapter 7 Obtaining and Preparing Samples for Analysis 179 7A The Importance of Sampling 180 7B Designing a Sampling Plan 182 7B.1 Where to Sample the Target Population 182 7B.2 What Type of Sample to Collect 185 7B.3 How Much Sample to Collect 187 7B.4 How Many Samples to Collect 191 7B.5 Minimizing the Overall Variance 192 7C Implementing the Sampling Plan 193 7C.1 Solutions 193 7C.2 Gases 195 7C.3 Solids 196 7D Separating the Analyte from Interferents 201 7E General Theory of Separation Efficiency 202 7F Classifying Separation Techniques 205 7F.1 Separations Based on Size 205 7F.2 Separations Based on Mass or Density 206 7F.3 Separations Based on Complexation Reactions (Masking) 207 7F.4 Separations Based on a Change of State 209 7F.5 Separations Based on a Partitioning Between Phases 211 7G Liquid–Liquid Extractions 215 7G.1 Partition Coefficients and Distribution Ratios 216 7G.2 Liquid–Liquid Extraction with No Secondary Reactions 216 7G.3 Liquid–Liquid Extractions Involving Acid–Base Equilibria 219 7G.4 Liquid–Liquid Extractions Involving Metal Chelators 221 7H Separation versus Preconcentration 223 7I Key Terms 224 7J Summary 224 7K Suggested Experiments 225 7L Problems 226 7M Suggested Readings 230 7N References 231 Chapter 6 Equilibrium Chemistry 135 6A Reversible Reactions and Chemical Equilibria 136 6B Thermodynamics and Equilibrium Chemistry 136 6C Manipulating Equilibrium Constants 138 6D Equilibrium Constants for Chemical Reactions 139 6D.1 Precipitation Reactions 139 6D.2 Acid–Base Reactions 140 6D.3 Complexation Reactions 144 6D.4 Oxidation–Reduction Reactions 145 6E Le Châtelier’s Principle 148 6F Ladder Diagrams 150 6F.1 Ladder Diagrams for Acid–Base Equilibria 150 6F.2 Ladder Diagrams for Complexation Equilibria 153 6F.3 Ladder Diagrams for Oxidation–Reduction Equilibria 155 6G Solving Equilibrium Problems 156 6G.1 A Simple Problem: Solubility of Pb(IO3)2 in Water 156 6G.2 A More Complex Problem: The Common Ion Effect 157 6G.3 Systematic Approach to Solving Equilibrium Problems 159 6G.4 pH of a Monoprotic Weak Acid 160 6G.5 pH of a Polyprotic Acid or Base 163 6G.6 Effect of Complexation on Solubility 165 6H Buffer Solutions 167 6H.1 Systematic Solution to Buffer Problems 168 6H.2 Representing Buffer Solutions with Ladder Diagrams 170 6I Activity Effects 171 6J Two Final Thoughts About Equilibrium Chemistry 175 6K Key Terms 175 6L Summary 175 6M Suggested Experiments 176 6N Problems 176 6O Suggested Readings 178 6P References 178 1400-Fm 9/9/99 7:38 AM Page v
vi Modern Analytical Chemistry Chapter 8 Gravimetric Methods of Analysis 232 8A Overview of Gravimetry 233 8A.1 Using Mass as a Signal 233 8A.2 Types of Gravimetric Methods 234 8A.3 Conservation of Mass 234 8A.4 Why Gravimetry Is Important 235 8B Precipitation Gravimetry 235 8B.1 Theory and Practice 235 8B.2 Quantitative Applications 247 8B.3 Qualitative Applications 254 8B.4 Evaluating Precipitation Gravimetry 254 8C Volatilization Gravimetry 255 8C.1 Theory and Practice 255 8C.2 Quantitative Applications 259 8C.3 Evaluating Volatilization Gravimetry 262 8D Particulate Gravimetry 262 8D.1 Theory and Practice 263 8D.2 Quantitative Applications 264 8D.3 Evaluating Precipitation Gravimetry 265 8E Key Terms 265 8F Summary 266 8G Suggested Experiments 266 8H Problems 267 8I Suggested Readings 271 8J References 272 Chapter 9 Titrimetric Methods of Analysis 273 9A Overview of Titrimetry 274 9A.1 Equivalence Points and End Points 274 9A.2 Volume as a Signal 274 9A.3 Titration Curves 275 9A.4 The Buret 277 9B Titrations Based on Acid–Base Reactions 278 9B.1 Acid–Base Titration Curves 279 9B.2 Selecting and Evaluating the End Point 287 9B.3 Titrations in Nonaqueous Solvents 295 9B.4 Representative Method 296 9B.5 Quantitative Applications 298 9B.6 Qualitative Applications 308 9B.7 Characterization Applications 309 9B.8 Evaluation of Acid–Base Titrimetry 311 9C Titrations Based on Complexation Reactions 314 9C.1 Chemistry and Properties of EDTA 315 9C.2 Complexometric EDTA Titration Curves 317 9C.3 Selecting and Evaluating the End Point 322 9C.4 Representative Method 324 9C.5 Quantitative Applications 327 9C.6 Evaluation of Complexation Titrimetry 331 9D Titrations Based on Redox Reactions 331 9D.1 Redox Titration Curves 332 9D.2 Selecting and Evaluating the End Point 337 9D.3 Representative Method 340 9D.4 Quantitative Applications 341 9D.5 Evaluation of Redox Titrimetry 350 9E Precipitation Titrations 350 9E.1 Titration Curves 350 9E.2 Selecting and Evaluating the End Point 354 9E.3 Quantitative Applications 354 9E.4 Evaluation of Precipitation Titrimetry 357 9F Key Terms 357 9G Summary 357 9H Suggested Experiments 358 9I Problems 360 9J Suggested Readings 366 9K References 367 Chapter 10 Spectroscopic Methods of Analysis 368 10A Overview of Spectroscopy 369 10A.1 What Is Electromagnetic Radiation 369 10A.2 Measuring Photons as a Signal 372 10B Basic Components of Spectroscopic Instrumentation 374 10B.1 Sources of Energy 375 10B.2 Wavelength Selection 376 10B.3 Detectors 379 10B.4 Signal Processors 380 10C Spectroscopy Based on Absorption 380 10C.1 Absorbance of Electromagnetic Radiation 380 10C.2 Transmittance and Absorbance 384 10C.3 Absorbance and Concentration: Beer’s Law 385 1400-Fm 9/9/99 7:38 AM Page vi
Contents vii 11B Potentiometric Methods of Analysis 465 11B.1 Potentiometric Measurements 466 11B.2 Reference Electrodes 471 11B.3 Metallic Indicator Electrodes 473 11B.4 Membrane Electrodes 475 11B.5 Quantitative Applications 485 11B.6 Evaluation 494 11C Coulometric Methods of Analysis 496 11C.1 Controlled-Potential Coulometry 497 11C.2 Controlled-Current Coulometry 499 11C.3 Quantitative Applications 501 11C.4 Characterization Applications 506 11C.5 Evaluation 507 11D Voltammetric Methods of Analysis 508 11D.1 Voltammetric Measurements 509 11D.2 Current in Voltammetry 510 11D.3 Shape of Voltammograms 513 11D.4 Quantitative and Qualitative Aspects of Voltammetry 514 11D.5 Voltammetric Techniques 515 11D.6 Quantitative Applications 520 11D.7 Characterization Applications 527 11D.8 Evaluation 531 11E Key Terms 532 11F Summary 532 11G Suggested Experiments 533 11H Problems 535 11I Suggested Readings 540 11J References 541 Chapter 12 Chromatographic and Electrophoretic Methods 543 12A Overview of Analytical Separations 544 12A.1 The Problem with Simple Separations 544 12A.2 A Better Way to Separate Mixtures 544 12A.3 Classifying Analytical Separations 546 12B General Theory of Column Chromatography 547 12B.1 Chromatographic Resolution 549 12B.2 Capacity Factor 550 12B.3 Column Selectivity 552 12B.4 Column Efficiency 552 10C.4 Beer’s Law and Multicomponent Samples 386 10C.5 Limitations to Beer’s Law 386 10D Ultraviolet-Visible and Infrared Spectrophotometry 388 10D.1 Instrumentation 388 10D.2 Quantitative Applications 394 10D.3 Qualitative Applications 402 10D.4 Characterization Applications 403 10D.5 Evaluation 409 10E Atomic Absorption Spectroscopy 412 10E.1 Instrumentation 412 10E.2 Quantitative Applications 415 10E.3 Evaluation 422 10F Spectroscopy Based on Emission 423 10G Molecular Photoluminescence Spectroscopy 423 10G.1 Molecular Fluorescence and Phosphorescence Spectra 424 10G.2 Instrumentation 427 10G.3 Quantitative Applications Using Molecular Luminescence 429 10G.4 Evaluation 432 10H Atomic Emission Spectroscopy 434 10H.1 Atomic Emission Spectra 434 10H.2 Equipment 435 10H.3 Quantitative Applications 437 10H.4 Evaluation 440 10I Spectroscopy Based on Scattering 441 10I.1 Origin of Scattering 441 10I.2 Turbidimetry and Nephelometry 441 10J Key Terms 446 10K Summary 446 10L Suggested Experiments 447 10M Problems 450 10N Suggested Readings 458 10O References 459 Chapter 11 Electrochemical Methods of Analysis 461 11A Classification of Electrochemical Methods 462 11A.1 Interfacial Electrochemical Methods 462 11A.2 Controlling and Measuring Current and Potential 462 1400-Fm 9/9/99 7:38 AM Page vii
12B.5 Peak Capacity 554 12B.6 Nonideal Behavior 555 12C Optimizing Chromatographic Separations 556 12C.1 Using the Capacity Factor to Optimize Resolution 556 12C.2 Using Column Selectivity to Optimize Resolution 558 12C.3 Using Column Efficiency to Optimize Resolution 559 12D Gas Chromatography 563 12D.1 Mobile Phase 563 12D.2 Chromatographic Columns 564 12D.3 Stationary Phases 565 12D.4 Sample Introduction 567 12D.5 Temperature Control 568 12D.6 Detectors for Gas Chromatography 569 12D.7 Quantitative Applications 571 12D.8 Qualitative Applications 575 12D.9 Representative Method 576 12D.10 Evaluation 577 12E High-Performance Liquid Chromatography 578 12E.1 HPLC Columns 578 12E.2 Stationary Phases 579 12E.3 Mobile Phases 580 12E.4 HPLC Plumbing 583 12E.5 Sample Introduction 584 12E.6 Detectors for HPLC 584 12E.7 Quantitative Applications 586 12E.8 Representative Method 588 12E.9 Evaluation 589 12F Liquid–Solid Adsorption Chromatography 590 12G Ion-Exchange Chromatography 590 12H Size-Exclusion Chromatography 593 12I Supercritical Fluid Chromatography 596 12J Electrophoresis 597 12J.1 Theory of Capillary Electrophoresis 598 12J.2 Instrumentation 601 12J.3 Capillary Electrophoresis Methods 604 12J.4 Representative Method 607 12J.5 Evaluation 609 12K Key Terms 609 12L Summary 610 12M Suggested Experiments 610 12N Problems 615 viii Modern Analytical Chemistry 12O Suggested Readings 620 12P References 620 Chapter 13 Kinetic Methods of Analysis 622 13A Methods Based on Chemical Kinetics 623 13A.1 Theory and Practice 624 13A.2 Instrumentation 634 13A.3 Quantitative Applications 636 13A.4 Characterization Applications 638 13A.5 Evaluation of Chemical Kinetic Methods 639 13B Radiochemical Methods of Analysis 642 13B.1 Theory and Practice 643 13B.2 Instrumentation 643 13B.3 Quantitative Applications 644 13B.4 Characterization Applications 647 13B.5 Evaluation 648 13C Flow Injection Analysis 649 13C.1 Theory and Practice 649 13C.2 Instrumentation 651 13C.3 Quantitative Applications 655 13C.4 Evaluation 658 13D Key Terms 658 13E Summary 659 13F Suggested Experiments 659 13G Problems 661 13H Suggested Readings 664 13I References 665 Chapter 14 Developing a Standard Method 666 14A Optimizing the Experimental Procedure 667 14A.1 Response Surfaces 667 14A.2 Searching Algorithms for Response Surfaces 668 14A.3 Mathematical Models of Response Surfaces 674 14B Verifying the Method 683 14B.1 Single-Operator Characteristics 683 14B.2 Blind Analysis of Standard Samples 683 14B.3 Ruggedness Testing 684 14B.4 Equivalency Testing 687 1400-Fm 9/9/99 7:38 AM Page viii
Contents ix 15D Key Terms 721 15E Summary 722 15F Suggested Experiments 722 15G Problems 722 15H Suggested Readings 724 15I References 724 Appendixes Appendix 1A Single-Sided Normal Distribution 725 Appendix 1B t-Table 726 Appendix 1C F-Table 727 Appendix 1D Critical Values for Q-Test 728 Appendix 1E Random Number Table 728 Appendix 2 Recommended Reagents for Preparing Primary Standards 729 Appendix 3A Solubility Products 731 Appendix 3B Acid Dissociation Constants 732 Appendix 3C Metal–Ligand Formation Constants 739 Appendix 3D Standard Reduction Potentials 743 Appendix 3E Selected Polarographic Half-Wave Potentials 747 Appendix 4 Balancing Redox Reactions 748 Appendix 5 Review of Chemical Kinetics 750 Appendix 6 Countercurrent Separations 755 Appendix 7 Answers to Selected Problems 762 Glossary 769 Index 781 14C Validating the Method as a Standard Method 687 14C.1 Two-Sample Collaborative Testing 688 14C.2 Collaborative Testing and Analysis of Variance 693 14C.3 What Is a Reasonable Result for a Collaborative Study? 698 14D Key Terms 699 14E Summary 699 14F Suggested Experiments 699 14G Problems 700 14H Suggested Readings 704 14I References 704 Chapter 15 Quality Assurance 705 15A Quality Control 706 15B Quality Assessment 708 15B.1 Internal Methods of Quality Assessment 708 15B.2 External Methods of Quality Assessment 711 15C Evaluating Quality Assurance Data 712 15C.1 Prescriptive Approach 712 15C.2 Performance-Based Approach 714 1400-Fm 9/9/99 7:38 AM Page ix
x Modern Analytical Chemistry A Guide to Using This Text . . . in Chapter Representative Methods Annotated methods of typical analytical procedures link theory with practice. The format encourages students to think about the design of the procedure and why it works. 246 Modern Analytical Chemistry RepresentativeMethods An additional problem is encountered when the isolated solid is non- stoichiometric. For example, precipitating Mn2+ as Mn(OH)2, followed by heating to produce the oxide, frequently produces a solid with a stoichiometry of MnOx, where x varies between 1 and 2. In this case the nonstoichiometric product results from the formation of a mixture of several oxides that differ in the oxidation state of manganese. Other nonstoichiometric compounds form as a result of lattice de- fects in the crystal structure.6 Representative Method The best way to appreciate the importance of the theoreti- cal and practical details discussed in the previous section is to carefully examine the procedure for a typical precipitation gravimetric method. Although each method has its own unique considerations, the determination of Mg2+ in water and waste- water by precipitating MgNH4PO4 ⋅ 6H2O and isolating Mg2P2O7 provides an in- structive example of a typical procedure. Method 8.1 Determination of Mg2+ in Water and Wastewater7 Description of Method. Magnesium is precipitated as MgNH4PO4 ⋅ 6H2O using (NH4)2HPO4 as the precipitant. The precipitate’s solubility in neutral solutions (0.0065 g/100 mL in pure water at 10 °C) is relatively high, but it is much less soluble in the presence of dilute ammonia (0.0003 g/100 mL in 0.6 M NH3). The precipitant is not very selective, so a preliminary separation of Mg2+ from potential interferents is necessary. Calcium, which is the most significant interferent, is usually removed by its prior precipitation as the oxalate. The presence of excess ammonium salts from the precipitant or the addition of too much ammonia can lead to the formation of Mg(NH4)4(PO4)2, which is subsequently isolated as Mg(PO3)2 after drying. The precipitate is isolated by filtration using a rinse solution of dilute ammonia. After filtering, the precipitate is converted to Mg2P2O7 and weighed. Procedure. Transfer a sample containing no more than 60 mg of Mg2+ into a 600-mL beaker. Add 2–3 drops of methyl red indicator, and, if necessary, adjust the volume to 150 mL. Acidify the solution with 6 M HCl, and add 10 mL of 30% w/v (NH4)2HPO4. After cooling, add concentrated NH3 dropwise, and while constantly stirring, until the methyl red indicator turns yellow (pH > 6.3). After stirring for 5 min, add 5 mL of concentrated NH3, and continue stirring for an additional 10 min. Allow the resulting solution and precipitate to stand overnight. Isolate the precipitate by filtration, rinsing with 5% v/v NH3. Dissolve the precipitate in 50 mL of 10% v/v HCl, and precipitate a second time following the same procedure. After filtering, carefully remove the filter paper by charring. Heat the precipitate at 500 °C until the residue is white, and then bring the precipitate to constant weight at 1100 °C. Questions 1. Why does the procedure call for a sample containing no more than 60 mg of q y There is a serious limitation, however, to an external standardization. The relationship between Sstand and CS in equation 5.3 is determined when the ana- lyte is present in the external standard’s matrix. In using an external standardiza- tion, we assume that any difference between the matrix of the standards and the sample’s matrix has no effect on the value of k. A proportional determinate error is introduced when differences between the two matrices cannot be ignored. This is shown in Figure 5.4, where the relationship between the signal and the amount of analyte is shown for both the sample’s matrix and the standard’s matrix. In this example, using a normal calibration curve results in a negative determinate error. When matrix problems are expected, an effort is made to match the matrix of the standards to that of the sample. This is known as matrix matching. When the sample’s matrix is unknown, the matrix effect must be shown to be negligi- ble, or an alternative method of standardization must be used. Both approaches are discussed in the following sections. 5B.4 Standard Additions The complication of matching the matrix of the standards to that of the sample can be avoided by conducting the standardization in the sample. This is known as the method of standard additions. The simplest version of a standard addi- tion is shown in Figure 5.5. A volume, Vo, of sample is diluted to a final volume, Vf, and the signal, Ssamp is measured. A second identical aliquot of sample is matrix matching Adjusting the matrix of an external standard so that it is the same as the matrix of the samples to be analyzed. method of standard additions A standardization in which aliquots of a standard solution are added to the sample. Examples of Typical Problems Each example problem includes a detailed solution that helps students in applying the chapter’s material to practical problems. Margin Notes Margin notes direct students to colorplates located toward the middle of the book Bold-faced Key Terms with Margin Definitions Key words appear in boldface when they are introduced within the text. The term and its definition appear in the margin for quick review by the student. All key words are also defined in the glossary. 110 Modern Analytical Chemistry either case, the calibration curve provides a means for relating Ssamp to the ana- lyte’s concentration. EXAMPLE 5.3 A second spectrophotometric method for the quantitative determination of Pb2+ levels in blood gives a linear normal calibration curve for which Sstand = (0.296 ppb–1) × CS + 0.003 What is the Pb2+ level (in ppb) in a sample of blood if Ssamp is 0.397? SOLUTION To determine the concentration of Pb2+ in the sample of blood, we replace Sstand in the calibration equation with Ssamp and solve for CA It is worth noting that the calibration equation in this problem includes an extra term that is not in equation 5.3. Ideally, we expect the calibration curve to give a signal of zero when CS is zero. This is the purpose of using a reagent blank to correct the measured signal. The extra term of +0.003 in our calibration equation results from uncertainty in measuring the signal for the reagent blank and the standards. An external standardization allows a related series of samples to be analyzed using a single calibration curve. This is an important advantage in laboratories where many samples are to be analyzed or when the need for a rapid throughput of l i iti l t i i l f th t l t d C S A samp ppb = = = – . . . – . . .– 0 003 0 296 0 397 0 003 0 296 1 331 ppb ppb–1 Color plate 1 shows an example of a set of external standards and their corresponding normal calibration curve. x 1400-Fm 9/9/99 7:38 AM Page x
List of Key Terms The key terms introduced within the chapter are listed at the end of each chapter. Page references direct the student to the definitions in the text. Summary The summary provides the student with a brief review of the important concepts within the chapter. Suggested Experiments An annotated list of representative experiments is provided from the Journal of Chemical Education. . . . End of Chapter y y 5E KEY TERMS aliquot (p. 111) external standard (p. 109) internal standard (p. 116) linear regression (p. 118) matrix matching (p. 110) method of standard additions (p. 110) multiple-point standardization (p. 109) normal calibration curve (p. 109) primary reagent (p. 106) reagent grade (p. 107) residual error (p. 118) secondary reagent (p. 107) single-point standardization (p. 108) standard deviation about the regression (p. 121) total Youden blank (p. 129) In a quantitative analysis, we measure a signal and calculate the amount of analyte using one of the following equations. Smeas = knA + Sreag Smeas = kCA + Sreag To obtain accurate results we must eliminate determinate errors affecting the measured signal, Smeas, the method’s sensitivity, k, and any signal due to the reagents, Sreag. To ensure that Smeas is determined accurately, we calibrate the equipment or instrument used to obtain the signal. Balances are calibrated using standard weights. When necessary, we can also correct for the buoyancy of air. Volumetric glassware can be calibrated by measuring the mass of water contained or de- livered and using the density of water to calculate the true vol- ume. Most instruments have calibration standards suggested by the manufacturer. An analytical method is standardized by determining its sensi- tivity. There are several approaches to standardization, including the use of external standards, the method of standard addition, and the use of an internal standard. The most desirable standard- ization strategy is an external standardization. The method of standard additions, in which known amounts of analyte are added to the sample, is used when the sample’s matrix complicates the analysis. An internal standard, which is a species (not analyte) added to all samples and standards, is used when the procedure does not allow for the reproducible handling of samples and standards. Standardizations using a single standard are common, but also are subject to greater uncertainty. Whenever possible, a multiple- point standardization is preferred. The results of a multiple-point standardization are graphed as a calibration curve. A linear regres- sion analysis can provide an equation for the standardization. A reagent blank corrects the measured signal for signals due to reagents other than the sample that are used in an analysis. The most common reagent blank is prepared by omitting the sample. When a simple reagent blank does not compensate for all constant sources of determinate error, other types of blanks, such as the total Youden blank, can be used. 5F SUMMARY Calibration—Volumetric glassware (burets, pipets, and volumetric flasks) can be calibrated in the manner described in Example 5.1. Most instruments have a calibration sample that can be prepared to verify the instrument’s accuracy and precision. For example, as described in this chapter, a solution of 60.06 ppm K2Cr2O7 in 0.0050 M H2SO4 should give an absorbance of 0.640 ± 0.010 at a wavelength of 350.0 nm when using 0.0050 M H2SO4 as a reagent blank. These exercises also provide practice with using volumetric glassware, weighing samples, and preparing solutions. Standardization—External standards, standard additions, and internal standards are a common feature of many quantitative analyses. Suggested experiments using these standardization methods are found in later chapters. A good project experiment for introducing external standardization, standard additions, and the importance of the sample’s matrix is to explore the effect of pH on the quantitative analysis of an acid–base indicator. Using bromothymol blue as an example, external standards can be prepared in a pH 9 buffer and used to analyze samples buffered to different pHs in the range of 6–10. Results can be compared with those obtained using a standard addition. 5G Suggested EXPERIMENTS The following exercises and experiments help connect the material in this chapter to the analytical laboratory. Experiments 1. When working with a solid sample, it often is necessary to bring the analyte into solution by dissolving the sample in a suitable solvent. Any solid impurities that remain are removed by filtration before continuing with the analysis. In a typical total analysis method, the procedure might read After dissolving the sample in a beaker, remove any solid impurities by passing the solution containing the analyte through filter paper, collecting the solution in a clean Erlenmeyer flask. Rinse the beaker with several small portions of solvent, passing these rinsings through the filter paper, and collecting them in the same Erlenmeyer flask. Finally, rinse the filter paper with several portions of solvent, collecting the rinsings in the same Erlenmeyer flask. For a typical concentration method, however, the procedure might state 4. A sample was analyzed to determine the concentration of an analyte. Under the conditions of the analysis, the sensitivity is 17.2 ppm–1. What is the analyte’s concentration if Smeas is 35.2 and Sreag is 0.6? 5. A method for the analysis of Ca2+ in water suffers from an interference in the presence of Zn2+. When the concentration of Ca2+ is 50 times greater than that of Zn2+, an analysis for Ca2+ gives a relative error of –2.0%. What is the value of the selectivity coefficient for this method? 6. The quantitative analysis for reduced glutathione in blood is complicated by the presence of many potential interferents. In one study, when analyzing a solution of 10-ppb glutathione and 1.5-ppb ascorbic acid, the signal was 5.43 times greater than that obtained for the analysis of 10-ppb glutathione.12 What is the selectivity coefficient for this analysis? The same study found that when analyzing a solution of 350-ppb methionine and 10-ppb glutathione the signal was 0 906 times less than that obtained for the analysis 3J PROBLEMS y y The role of analytical chemistry within the broader discipline of chemistry has been discussed by many prominent analytical chemists. Several notable examples follow. Baiulescu, G. E.; Patroescu, C.; Chalmers, R. A. Education and Teaching in Analytical Chemistry. Ellis Horwood: Chichester, 1982. Hieftje, G. M. “The Two Sides of Analytical Chemistry,” Anal. Chem. 1985, 57, 256A–267A. Kissinger, P. T. “Analytical Chemistry—What is It? Who Needs It? Why Teach It?” Trends Anal. Chem. 1992, 11, 54–57. Laitinen, H. A. “Analytical Chemistry in a Changing World,” Anal. Chem. 1980, 52, 605A–609A. Laitinen, H. A. “History of Analytical Chemistry in the U.S.A.,” Talanta 1989, 36, 1–9. Laitinen, H. A.; Ewing, G. (eds). A History of Analytical Chemistry. The Division of Analytical Chemistry of the American Chemical Society: Washington, D.C., 1972. McLafferty, F. W. “Analytical Chemistry: Historic and Modern,” Acc. Chem. Res. 1990, 23, 63–64. 1G SUGGESTED READINGS 1. Ravey, M. Spectroscopy 1990, 5(7), 11. 2. de Haseth, J. Spectroscopy 1990, 5(7), 11. 3. Fresenius, C. R. A System of Instruction in Quantitative Chemical Analysis. John Wiley and Sons: New York, 1881. 4. Hillebrand, W. F.; Lundell, G. E. F. Applied Inorganic Analysis, John Wiley and Sons: New York, 1953. 5. Van Loon, J. C. Analytical Atomic Absorption Spectroscopy. Academic Press: New York, 1980. 6. Murray, R. W. Anal. Chem. 1991, 63, 271A. 7. For several different viewpoints see (a) Beilby, A. L. J. Chem. Educ. 1970, 47, 237–238; (b) Lucchesi, C. A. Am. Lab. 1980, October, 113–119; (c) Atkinson, G. F. J. Chem. Educ. 1982, 59, 201–202; (d) Pardue, H. L.; Woo, J. J. Chem. Educ. 1984, 61, 409–412; (e) Guarnieri, M. J. Chem. Educ. 1988, 65, 201–203; (f) de Haseth, J. Spectroscopy 1990, 5, 20–21; (g) Strobel, H. A. Am. Lab. 1990, October, 17–24. 8. Hieftje, G. M. Am. Lab. 1993, October, 53–61. 9. See, for example, the following laboratory texts: (a) Sorum, C. H.; Lagowski, J. J. Introduction to Semimicro Qualitative Analysis, 5th ed. Prentice-Hall: Englewood Cliffs, NJ, 1977.; (b) Shriner, R. L.; Fuson, R. C.; Curtin, D. Y. The Systematic Identification of Organic Compounds, 5th ed. John Wiley and Sons: New York, 1964. 1H REFERENCES Problems A variety of problems, many based on data from the analytical literature, provide the student with practical examples of current research. Suggested Readings Suggested readings give the student access to more comprehensive discussion of the topics introduced within the chapter. References The references cited in the chapter are provided so the student can access them for further information. xi 1400-Fm 9/9/99 7:38 AM Page xi
As currently taught, the introductory course in analytical chemistry emphasizes quantitative (and sometimes qualitative) methods of analysis coupled with a heavy dose of equilibrium chemistry. Analytical chemistry, however, is more than equilib- rium chemistry and a collection of analytical methods; it is an approach to solving chemical problems. Although discussing different methods is important, that dis- cussion should not come at the expense of other equally important topics. The intro- ductory analytical course is the ideal place in the chemistry curriculum to explore topics such as experimental design, sampling, calibration strategies, standardization, optimization, statistics, and the validation of experimental results. These topics are important in developing good experimental protocols, and in interpreting experi- mental results. If chemistry is truly an experimental science, then it is essential that all chemistry students understand how these topics relate to the experiments they conduct in other chemistry courses. Currently available textbooks do a good job of covering the diverse range of wet and instrumental analysis techniques available to chemists. Although there is some disagreement about the proper balance between wet analytical techniques, such as gravimetry and titrimetry, and instrumental analysis techniques, such as spec- trophotometry, all currently available textbooks cover a reasonable variety of tech- niques. These textbooks, however, neglect, or give only brief consideration to, obtaining representative samples, handling interferents, optimizing methods, ana- lyzing data, validating data, and ensuring that data are collected under a state of sta- tistical control. In preparing this textbook, I have tried to find a more appropriate balance between theory and practice, between “classical” and “modern” methods of analysis, between analyzing samples and collecting and preparing samples for analysis, and between analytical methods and data analysis. Clearly, the amount of material in this textbook exceeds what can be covered in a single semester; it’s my hope, however, that the diversity of topics will meet the needs of different instructors, while, per- haps, suggesting some new topics to cover. The anticipated audience for this textbook includes students majoring in chem- istry, and students majoring in other science disciplines (biology, biochemistry, environmental science, engineering, and geology, to name a few), interested in obtaining a stronger background in chemical analysis. It is particularly appropriate for chemistry majors who are not planning to attend graduate school, and who often do not enroll in those advanced courses in analytical chemistry that require physical chemistry as a pre-requisite. Prior coursework of a year of general chemistry is assumed. Competence in algebra is essential; calculus is used on occasion, however, its presence is not essential to the material’s treatment. xii Preface Preface 1400-Fm 9/9/99 7:38 AM Page xii
Preface xiii Key Features of This Textbook Key features set this textbook apart from others currently available. • A stronger emphasis on the evaluation of data. Methods for characterizing chemical measurements, results, and errors (including the propagation of errors) are included. Both the binomial distribution and normal distribution are presented, and the idea of a confidence interval is developed. Statistical methods for evaluating data include the t-test (both for paired and unpaired data), the F-test, and the treatment of outliers. Detection limits also are discussed from a statistical perspective. Other statistical methods, such as ANOVA and ruggedness testing, are presented in later chapters. • Standardizations and calibrations are treated in a single chapter. Selecting the most appropriate calibration method is important and, for this reason, the methods of external standards, standard additions, and internal standards are gathered together in a single chapter. A discussion of curve-fitting, including the statistical basis for linear regression (with and without weighting) also is included in this chapter. • More attention to selecting and obtaining a representative sample. The design of a statistically based sampling plan and its implementation are discussed earlier, and in more detail than in other textbooks. Topics that are covered include how to obtain a representative sample, how much sample to collect, how many samples to collect, how to minimize the overall variance for an analytical method, tools for collecting samples, and sample preservation. • The importance of minimizing interferents is emphasized. Commonly used methods for separating interferents from analytes, such as distillation, masking, and solvent extraction, are gathered together in a single chapter. • Balanced coverage of analytical techniques. The six areas of analytical techniques—gravimetry, titrimetry, spectroscopy, electrochemistry, chromatography, and kinetics—receive roughly equivalent coverage, meeting the needs of instructors wishing to emphasize wet methods and those emphasizing instrumental methods. Related methods are gathered together in a single chapter encouraging students to see the similarities between methods, rather than focusing on their differences. • An emphasis on practical applications. Throughout the text applications from organic chemistry, inorganic chemistry, environmental chemistry, clinical chemistry, and biochemistry are used in worked examples, representative methods, and end-of-chapter problems. • Representative methods link theory with practice. An important feature of this text is the presentation of representative methods. These boxed features present typical analytical procedures in a format that encourages students to think about why the procedure is designed as it is. • Separate chapters on developing a standard method and quality assurance. Two chapters provide coverage of methods used in developing a standard method of analysis, and quality assurance. The chapter on developing a standard method includes topics such as optimizing experimental conditions using response surfaces, verifying the method through the blind analysis of standard samples and ruggedness testing, and collaborative testing using Youden’s two-sample approach and ANOVA. The chapter on quality assurance covers quality control and internal and external techniques for quality assessment, including the use of duplicate samples, blanks, spike recoveries, and control charts. 1400-Fm 9/9/99 7:38 AM Page xiii
• Problems adapted from the literature. Many of the in-chapter examples and end- of-chapter problems are based on data from the analytical literature, providing students with practical examples of current research in analytical chemistry. • An emphasis on critical thinking. Critical thinking is encouraged through problems in which students are asked to explain why certain steps in an analytical procedure are included, or to determine the effect of an experimental error on the results of an analysis. • Suggested experiments from the Journal of Chemical Education. Rather than including a short collection of experiments emphasizing the analysis of standard unknowns, an annotated list of representative experiments from the Journal of Chemical Education is included at the conclusion of most chapters. These experiments may serve as stand alone experiments, or as starting points for individual or group projects. The Role of Equilibrium Chemistry in Analytical Chemistry Equilibrium chemistry often receives a significant emphasis in the introductory ana- lytical chemistry course. While an important topic, its overemphasis can cause stu- dents to confuse analytical chemistry with equilibrium chemistry. Although atten- tion to solving equilibrium problems is important, it is equally important for stu- dents to recognize when such calculations are impractical, or when a simpler, more qualitative approach is all that is needed. For example, in discussing the gravimetric analysis of Ag+ as AgCl, there is little point in calculating the equilibrium solubility of AgCl since the concentration of Cl– at equilibrium is rarely known. It is impor- tant, however, to qualitatively understand that a large excess of Cl– increases the sol- ubility of AgCl due to the formation of soluble silver-chloro complexes. Balancing the presentation of a rigorous approach to solving equilibrium problems, this text also introduces the use of ladder diagrams as a means for providing a qualitative pic- ture of a system at equilibrium. Students are encouraged to use the approach best suited to the problem at hand. Computer Software Many of the topics covered in analytical chemistry benefit from the availability of appropriate computer software. In preparing this text, however, I made a conscious decision to avoid a presentation tied to a single computer platform or software pack- age. Students and faculty are increasingly experienced in the use of computers, spreadsheets, and data analysis software; their use is, I think, best left to the person- al choice of each student and instructor. Organization The textbook’s organization can be divided into four parts. Chapters 1–3 serve as an introduction, providing an overview of analytical chemistry (Chapter 1); a review of the basic tools of analytical chemistry, including significant figures, units, and stoi- chiometry (Chapter 2); and an introduction to the terminology used by analytical chemists (Chapter 3). Familiarity with the material in these chapters is assumed throughout the remainder of the text. Chapters 4–7 cover a number of topics that are important in understanding how a particular analytical method works. Later chapters are mostly independent of the material in these chapters. Instructors may pick and choose from among the topics xiv Preface 1400-Fm 9/9/99 7:38 AM Page xiv
Preface xv of these chapters, as needed, to support individual course goals. The statistical analy- sis of data is covered in Chapter 4 at a level that is more complete than that found in other introductory analytical textbooks. Methods for calibrating equipment, stan- dardizing methods, and linear regression are gathered together in Chapter 5. Chapter 6 provides an introduction to equilibrium chemistry, stressing both the rigorous solution to equilibrium problems, and the use of semi-quantitative approaches, such as ladder diagrams. The importance of collecting the right sample, and methods for separating analytes and interferents are covered in Chapter 7. Chapters 8–13 cover the major areas of analysis, including gravimetry (Chapter 8), titrimetry (Chapter 9), spectroscopy (Chapter 10), electrochemistry (Chapter 11), chromatography and electrophoresis (Chapter 12), and kinetic meth- ods (Chapter 13). Related techniques, such as acid–base titrimetry and redox titrimetry, or potentiometry and voltammetry, are gathered together in single chap- ters. Combining related techniques together encourages students to see the similar- ities between methods, rather than focusing on their differences. The first technique presented in each chapter is generally that which is most commonly covered in the introductory course. Finally, the textbook concludes with two chapters discussing the design and maintenance of analytical methods, two topics of importance to analytical chemists. Chapter 14 considers the development of an analytical method, including its opti- mization, verification, and validation. Quality control and quality assessment are discussed in Chapter 15. Acknowledgments Before beginning an academic career I was, of course, a student. My interest in chemistry and teaching was nurtured by many fine teachers at Westtown Friends School, Knox College, and the University of North Carolina at Chapel Hill; their col- lective influence continues to bear fruit. In particular, I wish to recognize David MacInnes, Alan Hiebert, Robert Kooser, and Richard Linton. I have been fortunate to work with many fine colleagues during my nearly 17 years of teaching undergraduate chemistry at Stockton State College and DePauw University. I am particularly grateful for the friendship and guidance provided by Jon Griffiths and Ed Paul during my four years at Stockton State College. At DePauw University, Jim George and Bryan Hanson have willingly shared their ideas about teaching, while patiently listening to mine. Approximately 300 students have joined me in thinking and learning about ana- lytical chemistry; their questions and comments helped guide the development of this textbook. I realize that working without a formal textbook has been frustrating and awkward; all the more reason why I appreciate their effort and hard work. The following individuals reviewed portions of this textbook at various stages during its development. David Ballantine Northern Illinois University John E. Bauer Illinois State University Ali Bazzi University of Michigan–Dearborn Steven D. Brown University of Delaware Wendy Clevenger University of Tennessee–Chattanooga Cathy Cobb Augusta State University Paul Flowers University of North Carolina–Pembroke Nancy Gordon University of Southern Maine 1400-Fm 9/9/99 7:38 AM Page xv
Virginia M. Indivero Swarthmore College Michael Janusa Nicholls State University J. David Jenkins Georgia Southern University Richard S. Mitchell Arkansas State University George A. Pearse, Jr. Le Moyne College Gary Rayson New Mexico State University David Redfield NW Nazarene University I am particularly grateful for their detailed written comments and suggestions for improving the manuscript. Much of what is good in the final manuscript is the result of their interest and ideas. George Foy (York College of Pennsylvania), John McBride (Hofstra University), and David Karpovich (Saginaw Valley State University) checked the accuracy of problems in the textbook. Gary Kinsel (University of Texas at Arlington) reviewed the page proofs and provided additional suggestions. This project began in the summer of 1992 with the support of a course develop- ment grant from DePauw University’s Faculty Development Fund. Additional finan- cial support from DePauw University’s Presidential Discretionary Fund also is acknowledged. Portions of the first draft were written during a sabbatical leave in the Fall semester of the 1993/94 academic year. A Fisher Fellowship provided release time during the Fall 1995 semester to complete the manuscript’s second draft. Alltech and Associates (Deerfield, IL) graciously provided permission to use the chromatograms in Chapter 12; the assistance of Jim Anderson, Vice-President, and Julia Poncher, Publications Director, is greatly appreciated. Fred Soster and Marilyn Culler, both of DePauw University, provided assistance with some of the photographs. The editorial staff at McGraw-Hill has helped guide a novice through the process of developing this text. I am particularly thankful for the encouragement and confidence shown by Jim Smith, Publisher for Chemistry, and Kent Peterson, Sponsoring Editor for Chemistry. Shirley Oberbroeckling, Developmental Editor for Chemistry, and Jayne Klein, Senior Project Manager, patiently answered my ques- tions and successfully guided me through the publishing process. Finally, I would be remiss if I did not recognize the importance of my family’s support and encouragement, particularly that of my parents. A very special thanks to my daughter, Devon, for gifts too numerous to detail. How to Contact the Author Writing this textbook has been an interesting (and exhausting) challenge. Despite my efforts, I am sure there are a few glitches, better examples, more interesting end- of-chapter problems, and better ways to think about some of the topics. I welcome your comments, suggestions, and data for interesting problems, which may be addressed to me at DePauw University, 602 S. College St., Greencastle, IN 46135, or electronically at harvey@depauw.edu. xvi Preface Vincent Remcho West Virginia University Jeanette K. Rice Georgia Southern University Martin W. Rowe Texas A&M University Alexander Scheeline University of Illinois James D. Stuart University of Connecticut Thomas J. Wenzel Bates College David Zax Cornell University 1400-Fm 9/9/99 7:38 AM Page xvi
CChhaapptteerr 1 1 Introduction Chemistry is the study of matter, including its composition, structure, physical properties, and reactivity. There are many approaches to studying chemistry, but, for convenience, we traditionally divide it into five fields: organic, inorganic, physical, biochemical, and analytical. Although this division is historical and arbitrary, as witnessed by the current interest in interdisciplinary areas such as bioanalytical and organometallic chemistry, these five fields remain the simplest division spanning the discipline of chemistry. Training in each of these fields provides a unique perspective to the study of chemistry. Undergraduate chemistry courses and textbooks are more than a collection of facts; they are a kind of apprenticeship. In keeping with this spirit, this text introduces the field of analytical chemistry and the unique perspectives that analytical chemists bring to the study of chemistry. 1400-CH01 9/9/99 2:20 PM Page 1
2 Modern Analytical Chemistry *Attributed to C. N. Reilley (1925–1981) on receipt of the 1965 Fisher Award in Analytical Chemistry. Reilley, who was a professor of chemistry at the University of North Carolina at Chapel Hill, was one of the most influential analytical chemists of the last half of the twentieth century. 1A What Is Analytical Chemistry? “Analytical chemistry is what analytical chemists do.”* We begin this section with a deceptively simple question. What is analytical chem- istry? Like all fields of chemistry, analytical chemistry is too broad and active a disci- pline for us to easily or completely define in an introductory textbook. Instead, we will try to say a little about what analytical chemistry is, as well as a little about what analytical chemistry is not. Analytical chemistry is often described as the area of chemistry responsible for characterizing the composition of matter, both qualitatively (what is present) and quantitatively (how much is present). This description is misleading. After all, al- most all chemists routinely make qualitative or quantitative measurements. The ar- gument has been made that analytical chemistry is not a separate branch of chem- istry, but simply the application of chemical knowledge.1 In fact, you probably have performed quantitative and qualitative analyses in other chemistry courses. For ex- ample, many introductory courses in chemistry include qualitative schemes for identifying inorganic ions and quantitative analyses involving titrations. Unfortunately, this description ignores the unique perspective that analytical chemists bring to the study of chemistry. The craft of analytical chemistry is not in performing a routine analysis on a routine sample (which is more appropriately called chemical analysis), but in improving established methods, extending existing methods to new types of samples, and developing new methods for measuring chemical phenomena.2 Here’s one example of this distinction between analytical chemistry and chemi- cal analysis. Mining engineers evaluate the economic feasibility of extracting an ore by comparing the cost of removing the ore with the value of its contents. To esti- mate its value they analyze a sample of the ore. The challenge of developing and val- idating the method providing this information is the analytical chemist’s responsi- bility. Once developed, the routine, daily application of the method becomes the job of the chemical analyst. Another distinction between analytical chemistry and chemical analysis is that analytical chemists work to improve established methods. For example, sev- eral factors complicate the quantitative analysis of Ni2+ in ores, including the presence of a complex heterogeneous mixture of silicates and oxides, the low con- centration of Ni2+ in ores, and the presence of other metals that may interfere in the analysis. Figure 1.1 is a schematic outline of one standard method in use dur- ing the late nineteenth century.3 After dissolving a sample of the ore in a mixture of H2SO4 and HNO3, trace metals that interfere with the analysis, such as Pb2+, Cu2+ and Fe3+, are removed by precipitation. Any cobalt and nickel in the sample are reduced to Co and Ni, isolated by filtration and weighed (point A). After dissolving the mixed solid, Co is isolated and weighed (point B). The amount of nickel in the ore sample is determined from the difference in the masses at points A and B. %Ni = mass point A – mass point B mass sample × 100 1400-CH01 9/9/99 2:20 PM Page 2
Chapter 1 Introduction 3 Original Sample PbSO4 Sand Basic ferric acetate CuS 1:3 H2SO4/HNO3 100°C (8–10 h) dilute w/H2O, digest 2–4 h Cu2+, Fe3+ Co2+, Ni2+ Fe3+, Co2+, Ni2+ Fe(OH)3 CoS, NiS CuS, PbS Co(OH)2, Ni(OH)2 CoO, NiO cool, add NH3 digest 50°–70°, 30 min Co2+, Ni2+ Fe3+ Waste Waste Co2+ , Ni2+ aqua regia heat, add HCl until strongly acidic bubble H2S (g) WasteCo2+ Solid Key Solution H2O, HCl heat add Na2CO3 until alkaline NaOH K3Co(NO3)5Ni2+ neutralize w/ NH3 Na2CO3, CH3COOH slightly acidify w/ HCl heat, bubble H2S (g) HCl heat Co as above Co, Ni heat, H2 (g) HNO3 K2CO3, KNO3 CH3COOH digest 24 h dilute bubble H2S(g) A B Figure 1.1 Analytical scheme outlined by Fresenius3 for the gravimetric analysis of Ni in ores. 1400-CH01 9/9/99 2:20 PM Page 3
The combination of determining the mass of Ni2+ by difference, coupled with the need for many reactions and filtrations makes this procedure both time-consuming and difficult to perform accurately. The development, in 1905, of dimethylgloxime (DMG), a reagent that selec- tively precipitates Ni2+ and Pd2+, led to an improved analytical method for deter- mining Ni2+ in ores.4 As shown in Figure 1.2, the mass of Ni2+ is measured directly, requiring fewer manipulations and less time. By the 1970s, the standard method for the analysis of Ni2+ in ores progressed from precipitating Ni(DMG)2 to flame atomic absorption spectrophotometry,5 resulting in an even more rapid analysis. Current interest is directed toward using inductively coupled plasmas for determin- ing trace metals in ores. In summary, a more appropriate description of analytical chemistry is “. . . the science of inventing and applying the concepts, principles, and . . . strategies for measuring the characteristics of chemical systems and species.”6 Analytical chemists typically operate at the extreme edges of analysis, extending and improving the abil- ity of all chemists to make meaningful measurements on smaller samples, on more complex samples, on shorter time scales, and on species present at lower concentra- tions. Throughout its history, analytical chemistry has provided many of the tools and methods necessary for research in the other four traditional areas of chemistry, as well as fostering multidisciplinary research in, to name a few, medicinal chem- istry, clinical chemistry, toxicology, forensic chemistry, material science, geochem- istry, and environmental chemistry. 4 Modern Analytical Chemistry Original sample Residue Ni(DMG)2(s) HNO3, HCl, heat Solution Solid Key Solution 20% NH4Cl 10% tartaric acid take alkaline with 1:1 NH3 Yes No A take acid with HCl 1% alcoholic DMG take alkaline with 1:1 NH3 take acid with HCl 10% tartaric acid take alkaline with 1:1 NH3 Is solid present? %Ni = × 100 mass A × 0.2031 g sample Figure 1.2 Analytical scheme outlined by Hillebrand and Lundell4 for the gravimetric analysis of Ni in ores (DMG = dimethylgloxime). The factor of 0.2031 in the equation for %Ni accounts for the difference in the formula weights of Ni(DMG)2 and Ni; see Chapter 8 for more details. 1400-CH01 9/9/99 2:20 PM Page 4
Chapter 1 Introduction 5 You will come across numerous examples of qualitative and quantitative meth- ods in this text, most of which are routine examples of chemical analysis. It is im- portant to remember, however, that nonroutine problems prompted analytical chemists to develop these methods. Whenever possible, we will try to place these methods in their appropriate historical context. In addition, examples of current re- search problems in analytical chemistry are scattered throughout the text. The next time you are in the library, look through a recent issue of an analyti- cally oriented journal, such as Analytical Chemistry. Focus on the titles and abstracts of the research articles. Although you will not recognize all the terms and methods, you will begin to answer for yourself the question “What is analytical chemistry”? 1B The Analytical Perspective Having noted that each field of chemistry brings a unique perspective to the study of chemistry, we now ask a second deceptively simple question. What is the “analyt- ical perspective”? Many analytical chemists describe this perspective as an analytical approach to solving problems.7 Although there are probably as many descriptions of the analytical approach as there are analytical chemists, it is convenient for our purposes to treat it as a five-step process: 1. Identify and define the problem. 2. Design the experimental procedure. 3. Conduct an experiment, and gather data. 4. Analyze the experimental data. 5. Propose a solution to the problem. Figure 1.3 shows an outline of the analytical approach along with some im- portant considerations at each step. Three general features of this approach de- serve attention. First, steps 1 and 5 provide opportunities for analytical chemists to collaborate with individuals outside the realm of analytical chemistry. In fact, many problems on which analytical chemists work originate in other fields. Sec- ond, the analytical approach is not linear, but incorporates a “feedback loop” consisting of steps 2, 3, and 4, in which the outcome of one step may cause a reevaluation of the other two steps. Finally, the solution to one problem often suggests a new problem. Analytical chemistry begins with a problem, examples of which include evalu- ating the amount of dust and soil ingested by children as an indicator of environ- mental exposure to particulate based pollutants, resolving contradictory evidence regarding the toxicity of perfluoro polymers during combustion, or developing rapid and sensitive detectors for chemical warfare agents.* At this point the analyti- cal approach involves a collaboration between the analytical chemist and the indi- viduals responsible for the problem. Together they decide what information is needed. It is also necessary for the analytical chemist to understand how the prob- lem relates to broader research goals. The type of information needed and the prob- lem’s context are essential to designing an appropriate experimental procedure. Designing an experimental procedure involves selecting an appropriate method of analysis based on established criteria, such as accuracy, precision, sensitivity, and detection limit; the urgency with which results are needed; the cost of a single analy- sis; the number of samples to be analyzed; and the amount of sample available for *These examples are taken from a series of articles, entitled the “Analytical Approach,” which has appeared as a regular feature in the journal Analytical Chemistry since 1974. 1400-CH01 9/9/99 2:20 PM Page 5
Figure 1.3 Flow diagram for the analytical approach to solving problems; modified after Atkinson.7c analysis. Finding an appropriate balance between these parameters is frequently complicated by their interdependence. For example, improving the precision of an analysis may require a larger sample. Consideration is also given to collecting, stor- ing, and preparing samples, and to whether chemical or physical interferences will affect the analysis. Finally, a good experimental procedure may still yield useless in- formation if there is no method for validating the results. The most visible part of the analytical approach occurs in the laboratory. As part of the validation process, appropriate chemical or physical standards are used to calibrate any equipment being used and any solutions whose concentrations must be known. The selected samples are then analyzed and the raw data recorded. The raw data collected during the experiment are then analyzed. Frequently the data must be reduced or transformed to a more readily analyzable form. A statistical treatment of the data is used to evaluate the accuracy and precision of the analysis and to validate the procedure. These results are compared with the criteria estab- lished during the design of the experiment, and then the design is reconsidered, ad- ditional experimental trials are run, or a solution to the problem is proposed. When a solution is proposed, the results are subject to an external evaluation that may re- sult in a new problem and the beginning of a new analytical cycle. 6 Modern Analytical Chemistry 1. Identify the problem Determine type of information needed (qualitative, quantitative, characterization, or fundamental) Identify context of the problem 2. Design the experimental procedure Establish design criteria (accuracy, precision, scale of operation, sensitivity, selectivity, cost, speed) Identify interferents Select method Establish validation criteria Establish sampling strategy Feedback loop 3. Conduct an experiment Calibrate instruments and equipment Standardize reagents Gather data 4. Analyze the experimental data Reduce or transform data Analyze statistics Verify results Interpret results 5. Propose a solution Conduct external evaluation 1400-CH01 9/9/99 2:20 PM Page 6
As an exercise, let’s adapt this model of the analytical approach to a real prob- lem. For our example, we will use the determination of the sources of airborne pol- lutant particles. A description of the problem can be found in the following article: “Tracing Aerosol Pollutants with Rare Earth Isotopes” by Ondov, J. M.; Kelly, W. R. Anal. Chem. 1991, 63, 691A–697A. Before continuing, take some time to read the article, locating the discussions per- taining to each of the five steps outlined in Figure 1.3. In addition, consider the fol- lowing questions: 1. What is the analytical problem? 2. What type of information is needed to solve the problem? 3. How will the solution to this problem be used? 4. What criteria were considered in designing the experimental procedure? 5. Were there any potential interferences that had to be eliminated? If so, how were they treated? 6. Is there a plan for validating the experimental method? 7. How were the samples collected? 8. Is there evidence that steps 2, 3, and 4 of the analytical approach are repeated more than once? 9. Was there a successful conclusion to the problem? According to our model, the analytical approach begins with a problem. The motivation for this research was to develop a method for monitoring the transport of solid aerosol particulates following their release from a high-temperature com- bustion source. Because these particulates contain significant concentrations of toxic heavy metals and carcinogenic organic compounds, they represent a signifi- cant environmental hazard. An aerosol is a suspension of either a solid or a liquid in a gas. Fog, for exam- ple, is a suspension of small liquid water droplets in air, and smoke is a suspension of small solid particulates in combustion gases. In both cases the liquid or solid par- ticulates must be small enough to remain suspended in the gas for an extended time. Solid aerosol particulates, which are the focus of this problem, usually have micrometer or submicrometer diameters. Over time, solid particulates settle out from the gas, falling to the Earth’s surface as dry deposition. Existing methods for monitoring the transport of gases were inadequate for studying aerosols. To solve the problem, qualitative and quantitative information were needed to determine the sources of pollutants and their net contribution to the total dry deposition at a given location. Eventually the methods developed in this study could be used to evaluate models that estimate the contributions of point sources of pollution to the level of pollution at designated locations. Following the movement of airborne pollutants requires a natural or artificial tracer (a species specific to the source of the airborne pollutants) that can be exper- imentally measured at sites distant from the source. Limitations placed on the tracer, therefore, governed the design of the experimental procedure. These limita- tions included cost, the need to detect small quantities of the tracer, and the ab- sence of the tracer from other natural sources. In addition, aerosols are emitted from high-temperature combustion sources that produce an abundance of very re- active species. The tracer, therefore, had to be both thermally and chemically stable. On the basis of these criteria, rare earth isotopes, such as those of Nd, were selected as tracers. The choice of tracer, in turn, dictated the analytical method (thermal ionization mass spectrometry, or TIMS) for measuring the isotopic abundances of Chapter 1 Introduction 7 1400-CH01 9/9/99 2:20 PM Page 7
8 Modern Analytical Chemistry qualitative analysis An analysis in which we determine the identity of the constituent species in a sample. Nd in samples. Unfortunately, mass spectrometry is not a selective technique. A mass spectrum provides information about the abundance of ions with a given mass. It cannot distinguish, however, between different ions with the same mass. Consequently, the choice of TIMS required developing a procedure for separating the tracer from the aerosol particulates. Validating the final experimental protocol was accomplished by running a model study in which 148Nd was released into the atmosphere from a 100-MW coal utility boiler. Samples were collected at 13 locations, all of which were 20 km from the source. Experimental results were compared with predictions determined by the rate at which the tracer was released and the known dispersion of the emissions. Finally, the development of this procedure did not occur in a single, linear pass through the analytical approach. As research progressed, problems were encoun- tered and modifications made, representing a cycle through steps 2, 3, and 4 of the analytical approach. Others have pointed out, with justification, that the analytical approach out- lined here is not unique to analytical chemistry, but is common to any aspect of sci- ence involving analysis.8 Here, again, it helps to distinguish between a chemical analysis and analytical chemistry. For other analytically oriented scientists, such as physical chemists and physical organic chemists, the primary emphasis is on the problem, with the results of an analysis supporting larger research goals involving fundamental studies of chemical or physical processes. The essence of analytical chemistry, however, is in the second, third, and fourth steps of the analytical ap- proach. Besides supporting broader research goals by developing and validating an- alytical methods, these methods also define the type and quality of information available to other research scientists. In some cases, the success of an analytical method may even suggest new research problems. 1C Common Analytical Problems In Section 1A we indicated that analytical chemistry is more than a collection of qualitative and quantitative methods of analysis. Nevertheless, many problems on which analytical chemists work ultimately involve either a qualitative or quantita- tive measurement. Other problems may involve characterizing a sample’s chemical or physical properties. Finally, many analytical chemists engage in fundamental studies of analytical methods. In this section we briefly discuss each of these four areas of analysis. Many problems in analytical chemistry begin with the need to identify what is present in a sample. This is the scope of a qualitative analysis, examples of which include identifying the products of a chemical reaction, screening an athlete’s urine for the presence of a performance-enhancing drug, or determining the spatial dis- tribution of Pb on the surface of an airborne particulate. Much of the early work in analytical chemistry involved the development of simple chemical tests to identify the presence of inorganic ions and organic functional groups. The classical labora- tory courses in inorganic and organic qualitative analysis,9 still taught at some schools, are based on this work. Currently, most qualitative analyses use methods such as infrared spectroscopy, nuclear magnetic resonance, and mass spectrometry. These qualitative applications of identifying organic and inorganic compounds are covered adequately elsewhere in the undergraduate curriculum and, so, will receive no further consideration in this text. 1400-CH01 9/9/99 2:20 PM Page 8
Perhaps the most common type of problem encountered in the analytical lab is a quantitative analysis. Examples of typical quantitative analyses include the ele- mental analysis of a newly synthesized compound, measuring the concentration of glucose in blood, or determining the difference between the bulk and surface con- centrations of Cr in steel. Much of the analytical work in clinical, pharmaceutical, environmental, and industrial labs involves developing new methods for determin- ing the concentration of targeted species in complex samples. Most of the examples in this text come from the area of quantitative analysis. Another important area of analytical chemistry, which receives some attention in this text, is the development of new methods for characterizing physical and chemical properties. Determinations of chemical structure, equilibrium constants, particle size, and surface structure are examples of a characterization analysis. The purpose of a qualitative, quantitative, and characterization analysis is to solve a problem associated with a sample. A fundamental analysis, on the other hand, is directed toward improving the experimental methods used in the other areas of analytical chemistry. Extending and improving the theory on which a method is based, studying a method’s limitations, and designing new and modify- ing old methods are examples of fundamental studies in analytical chemistry. Chapter 1 Introduction 9 characterization analysis An analysis in which we evaluate a sample’s chemical or physical properties. fundamental analysis An analysis whose purpose is to improve an analytical method’s capabilities. quantitative analysis An analysis in which we determine how much of a constituent species is present in a sample. 1D KEY TERMS characterization analysis (p. 9) fundamental analysis (p. 9) qualitative analysis (p. 8) quantitative analysis (p. 9) Analytical chemists work to improve the ability of all chemists to make meaningful measurements. Chemists working in medicinal chemistry, clinical chemistry, forensic chemistry, and environ- mental chemistry, as well as the more traditional areas of chem- istry, need better tools for analyzing materials. The need to work with smaller quantities of material, with more complex materi- als, with processes occurring on shorter time scales, and with species present at lower concentrations challenges analytical chemists to improve existing analytical methods and to develop new analytical techniques. Typical problems on which analytical chemists work include qualitative analyses (what is present?), quantitative analyses (how much is present?), characterization analyses (what are the material’s chemical and physical properties?), and funda- mental analyses (how does this method work and how can it be improved?). 1E SUMMARY 1. For each of the following problems indicate whether its solution requires a qualitative, quantitative, characterization, or fundamental study. More than one type of analysis may be appropriate for some problems. a. A hazardous-waste disposal site is believed to be leaking contaminants into the local groundwater. b. An art museum is concerned that a recent acquisition is a forgery. c. A more reliable method is needed by airport security for detecting the presence of explosive materials in luggage. d. The structure of a newly discovered virus needs to be determined. e. A new visual indicator is needed for an acid–base titration. f. A new law requires a method for evaluating whether automobiles are emitting too much carbon monoxide. 2. Read a recent article from the column “Analytical Approach,” published in Analytical Chemistry, or an article assigned by your instructor, and write an essay summarizing the nature of the problem and how it was solved. As a guide, refer back to Figure 1.3 for one model of the analytical approach. 1F PROBLEMS 1400-CH01 9/9/99 2:20 PM Page 9
10 Modern Analytical Chemistry The role of analytical chemistry within the broader discipline of chemistry has been discussed by many prominent analytical chemists. Several notable examples follow. Baiulescu, G. E.; Patroescu, C.; Chalmers, R. A. Education and Teaching in Analytical Chemistry. Ellis Horwood: Chichester, 1982. Hieftje, G. M. “The Two Sides of Analytical Chemistry,” Anal. Chem. 1985, 57, 256A–267A. Kissinger, P. T. “Analytical Chemistry—What is It? Who Needs It? Why Teach It?” Trends Anal. Chem. 1992, 11, 54–57. Laitinen, H. A. “Analytical Chemistry in a Changing World,” Anal. Chem. 1980, 52, 605A–609A. Laitinen, H. A. “History of Analytical Chemistry in the U.S.A.,” Talanta 1989, 36, 1–9. Laitinen, H. A.; Ewing, G. (eds). A History of Analytical Chemistry. The Division of Analytical Chemistry of the American Chemical Society: Washington, D.C., 1972. McLafferty, F. W. “Analytical Chemistry: Historic and Modern,” Acc. Chem. Res. 1990, 23, 63–64. Mottola, H. A. “The Interdisciplinary and Multidisciplinary Nature of Contemporary Analytical Chemistry and Its Core Components,” Anal. Chim. Acta 1991, 242, 1–3. Tyson, J. Analysis: What Analytical Chemists Do. Royal Society of Chemistry: Cambridge, England, 1988. Several journals are dedicated to publishing broadly in the field of analytical chemistry, including Analytical Chemistry, Analytica Chimica Acta, Analyst, and Talanta. Other journals, too numerous to list, are dedicated to single areas of analytical chemistry. Current research in the areas of quantitative analysis, qualitative analysis, and characterization analysis are reviewed biannually (odd-numbered years) in Analytical Chemistry’s “Application Reviews.” Current research on fundamental developments in analytical chemistry are reviewed biannually (even-numbered years) in Analytical Chemistry’s “Fundamental Reviews.” 1G SUGGESTED READINGS 1. Ravey, M. Spectroscopy 1990, 5(7), 11. 2. de Haseth, J. Spectroscopy 1990, 5(7), 11. 3. Fresenius, C. R. A System of Instruction in Quantitative Chemical Analysis. John Wiley and Sons: New York, 1881. 4. Hillebrand, W. F.; Lundell, G. E. F. Applied Inorganic Analysis, John Wiley and Sons: New York, 1953. 5. Van Loon, J. C. Analytical Atomic Absorption Spectroscopy. Academic Press: New York, 1980. 6. Murray, R. W. Anal. Chem. 1991, 63, 271A. 7. For several different viewpoints see (a) Beilby, A. L. J. Chem. Educ. 1970, 47, 237–238; (b) Lucchesi, C. A. Am. Lab. 1980, October, 113–119; (c) Atkinson, G. F. J. Chem. Educ. 1982, 59, 201–202; (d) Pardue, H. L.; Woo, J. J. Chem. Educ. 1984, 61, 409–412; (e) Guarnieri, M. J. Chem. Educ. 1988, 65, 201–203; (f) de Haseth, J. Spectroscopy 1990, 5, 20–21; (g) Strobel, H. A. Am. Lab. 1990, October, 17–24. 8. Hieftje, G. M. Am. Lab. 1993, October, 53–61. 9. See, for example, the following laboratory texts: (a) Sorum, C. H.; Lagowski, J. J. Introduction to Semimicro Qualitative Analysis, 5th ed. Prentice-Hall: Englewood Cliffs, NJ, 1977.; (b) Shriner, R. L.; Fuson, R. C.; Curtin, D. Y. The Systematic Identification of Organic Compounds, 5th ed. John Wiley and Sons: New York, 1964. 1H REFERENCES 1400-CH01 9/9/99 2:20 PM Page 10
CChhaapptteerr 2 11 Basic Tools of Analytical Chemistry In the chapters that follow we will learn about the specifics of analytical chemistry. In the process we will ask and answer questions such as “How do we treat experimental data?” “How do we ensure that our results are accurate?” “How do we obtain a representative sample?” and “How do we select an appropriate analytical technique?” Before we look more closely at these and other questions, we will first review some basic numerical and experimental tools of importance to analytical chemists. 1400-CH02 9/8/99 3:47 PM Page 11
12 Modern Analytical Chemistry 2A Numbers in Analytical Chemistry Analytical chemistry is inherently a quantitative science. Whether determining the concentration of a species in a solution, evaluating an equilibrium constant, mea- suring a reaction rate, or drawing a correlation between a compound’s structure and its reactivity, analytical chemists make measurements and perform calculations. In this section we briefly review several important topics involving the use of num- bers in analytical chemistry. 2A.1 Fundamental Units of Measure Imagine that you find the following instructions in a laboratory procedure: “Trans- fer 1.5 of your sample to a 100 volumetric flask, and dilute to volume.” How do you do this? Clearly these instructions are incomplete since the units of measurement are not stated. Compare this with a complete instruction: “Transfer 1.5 g of your sample to a 100-mL volumetric flask, and dilute to volume.” This is an instruction that you can easily follow. Measurements usually consist of a unit and a number expressing the quantity of that unit. Unfortunately, many different units may be used to express the same physical measurement. For example, the mass of a sample weighing 1.5 g also may be expressed as 0.0033 lb or 0.053 oz. For consistency, and to avoid confusion, sci- entists use a common set of fundamental units, several of which are listed in Table 2.1. These units are called SI units after the Système International d’Unités. Other measurements are defined using these fundamental SI units. For example, we mea- sure the quantity of heat produced during a chemical reaction in joules, (J), where Table 2.2 provides a list of other important derived SI units, as well as a few com- monly used non-SI units. Chemists frequently work with measurements that are very large or very small. A mole, for example, contains 602,213,670,000,000,000,000,000 particles, and some analytical techniques can detect as little as 0.000000000000001 g of a compound. For simplicity, we express these measurements using scientific notation; thus, a mole contains 6.0221367 × 1023 particles, and the stated mass is 1 × 10–15 g. Some- times it is preferable to express measurements without the exponential term, replac- ing it with a prefix. A mass of 1 × 10–15 g is the same as 1 femtogram. Table 2.3 lists other common prefixes. 1 J = 1 m kg2 s2 Table 2.1 Fundamental SI Units Measurement Unit Symbol mass kilogram kg volume liter L distance meter m temperature kelvin K time second s current ampere A amount of substance mole mol scientific notation A shorthand method for expressing very large or very small numbers by indicating powers of ten; for example, 1000 is 1 × 103. SI units Stands for Système International d’Unités. These are the internationally agreed on units for measurements. 1400-CH02 9/8/99 3:47 PM Page 12
2A.2 Significant Figures Recording a measurement provides information about both its magnitude and un- certainty. For example, if we weigh a sample on a balance and record its mass as 1.2637 g, we assume that all digits, except the last, are known exactly. We assume that the last digit has an uncertainty of at least ±1, giving an absolute uncertainty of at least ±0.0001 g, or a relative uncertainty of at least Significant figures are a reflection of a measurement’s uncertainty. The num- ber of significant figures is equal to the number of digits in the measurement, with the exception that a zero (0) used to fix the location of a decimal point is not con- sidered significant. This definition can be ambiguous. For example, how many sig- nificant figures are in the number 100? If measured to the nearest hundred, then there is one significant figure. If measured to the nearest ten, however, then two ± × = ± 0 0001 1 2637 100 0 0079 . . . % g g Chapter 2 Basic Tools of Analytical Chemistry 13 Table 2.2 Other SI and Non-SI Units Measurement Unit Symbol Equivalent SI units length angstrom Å 1 Å = 1 × 10–10 m force newton N 1 N = 1 m ⋅kg/s2 pressure pascal Pa 1 Pa = 1 N/m2 = 1 kg/(m ⋅s2) atmosphere atm 1 atm = 101,325 Pa energy, work, heat joule J 1 J = 1 N ⋅m = 1 m2 ⋅kg/s2 power watt W 1 W = 1 J/s = 1 m2 ⋅kg/s3 charge coulomb C 1 C = 1 A ⋅s potential volt V 1 V = 1 W/A = 1 m2 ⋅kg/(s3 ⋅A) temperature degree Celsius °C °C = K – 273.15 degree Fahrenheit °F °F = 1.8(K – 273.15) + 32 Table 2.3 Common Prefixes for Exponential Notation Exponential Prefix Symbol 1012 tera T 109 giga G 106 mega M 103 kilo k 10–1 deci d 10–2 centi c 10–3 milli m 10–6 micro µ 10–9 nano n 10–12 pico p 10–15 femto f 10–18 atto a significant figures The digits in a measured quantity, including all digits known exactly and one digit (the last) whose quantity is uncertain. 1400-CH02 9/8/99 3:47 PM Page 13
significant figures are included. To avoid ambiguity we use scientific notation. Thus, 1 × 102 has one significant figure, whereas 1.0 × 102 has two significant figures. For measurements using logarithms, such as pH, the number of significant figures is equal to the number of digits to the right of the decimal, including all zeros. Digits to the left of the decimal are not included as significant figures since they only indicate the power of 10. A pH of 2.45, therefore, contains two signifi- cant figures. Exact numbers, such as the stoichiometric coefficients in a chemical formula or reaction, and unit conversion factors, have an infinite number of significant figures. A mole of CaCl2, for example, contains exactly two moles of chloride and one mole of calcium. In the equality 1000 mL = 1 L both numbers have an infinite number of significant figures. Recording a measurement to the correct number of significant figures is im- portant because it tells others about how precisely you made your measurement. For example, suppose you weigh an object on a balance capable of measuring mass to the nearest ±0.1 mg, but record its mass as 1.762 g instead of 1.7620 g. By failing to record the trailing zero, which is a significant figure, you suggest to others that the mass was determined using a balance capable of weighing to only the nearest ±1 mg. Similarly, a buret with scale markings every 0.1 mL can be read to the nearest ±0.01 mL. The digit in the hundredth’s place is the least sig- nificant figure since we must estimate its value. Reporting a volume of 12.241 mL implies that your buret’s scale is more precise than it actually is, with divi- sions every 0.01 mL. Significant figures are also important because they guide us in reporting the re- sult of an analysis. When using a measurement in a calculation, the result of that calculation can never be more certain than that measurement’s uncertainty. Simply put, the result of an analysis can never be more certain than the least certain mea- surement included in the analysis. As a general rule, mathematical operations involving addition and subtraction are carried out to the last digit that is significant for all numbers included in the cal- culation. Thus, the sum of 135.621, 0.33, and 21.2163 is 157.17 since the last digit that is significant for all three numbers is in the hundredth’s place. 135.621 + 0.33 + 21.2163 = 157.1673 = 157.17 When multiplying and dividing, the general rule is that the answer contains the same number of significant figures as that number in the calculation having the fewest significant figures. Thus, It is important to remember, however, that these rules are generalizations. What is conserved is not the number of significant figures, but absolute uncertainty when adding or subtracting, and relative uncertainty when multiplying or dividing. For example, the following calculation reports the answer to the correct number of significant figures, even though it violates the general rules outlined earlier. 101 99 1 02= . 22 91 0152 16 302 0 21361 0 214 . . . . . × = = 14 Modern Analytical Chemistry 1400-CH02 9/8/99 3:48 PM Page 14
Chapter 2 Basic Tools of Analytical Chemistry 15 Since the relative uncertainty in both measurements is roughly 1% (101 ±1, 99 ±1), the relative uncertainty in the final answer also must be roughly 1%. Reporting the answer to only two significant figures (1.0), as required by the general rules, implies a relative uncertainty of 10%. The correct answer, with three significant figures, yields the expected relative uncertainty. Chapter 4 presents a more thorough treat- ment of uncertainty and its importance in reporting the results of an analysis. Finally, to avoid “round-off” errors in calculations, it is a good idea to retain at least one extra significant figure throughout the calculation. This is the practice adopted in this textbook. Better yet, invest in a good scientific calculator that allows you to perform lengthy calculations without recording intermediate values. When the calculation is complete, the final answer can be rounded to the correct number of significant figures using the following simple rules. 1. Retain the least significant figure if it and the digits that follow are less than halfway to the next higher digit; thus, rounding 12.442 to the nearest tenth gives 12.4 since 0.442 is less than halfway between 0.400 and 0.500. 2. Increase the least significant figure by 1 if it and the digits that follow are more than halfway to the next higher digit; thus, rounding 12.476 to the nearest tenth gives 12.5 since 0.476 is more than halfway between 0.400 and 0.500. 3. If the least significant figure and the digits that follow are exactly halfway to the next higher digit, then round the least significant figure to the nearest even number; thus, rounding 12.450 to the nearest tenth gives 12.4, but rounding 12.550 to the nearest tenth gives 12.6. Rounding in this manner prevents us from introducing a bias by always rounding up or down. 2B Units for Expressing Concentration Concentration is a general measurement unit stating the amount of solute present in a known amount of solution 2.1 Although the terms “solute” and “solution” are often associated with liquid sam- ples, they can be extended to gas-phase and solid-phase samples as well. The actual units for reporting concentration depend on how the amounts of solute and solu- tion are measured. Table 2.4 lists the most common units of concentration. 2B.1 Molarity and Formality Both molarity and formality express concentration as moles of solute per liter of solu- tion. There is, however, a subtle difference between molarity and formality. Molarity is the concentration of a particular chemical species in solution. Formality, on the other hand, is a substance’s total concentration in solution without regard to its spe- cific chemical form. There is no difference between a substance’s molarity and for- mality if it dissolves without dissociating into ions. The molar concentration of a so- lution of glucose, for example, is the same as its formality. For substances that ionize in solution, such as NaCl, molarity and formality are different. For example, dissolving 0.1 mol of NaCl in 1 L of water gives a solution containing 0.1 mol of Na+ and 0.1 mol of Cl–. The molarity of NaCl, therefore, is zero since there is essentially no undissociated NaCl in solution. The solution, Concentration amount of solute amount of solution = molarity The number of moles of solute per liter of solution (M). formality The number of moles of solute, regardless of chemical form, per liter of solution (F). concentration An expression stating the relative amount of solute per unit volume or unit mass of solution. 1400-CH02 9/8/99 3:48 PM Page 15
instead, is 0.1 M in Na+ and 0.1 M in Cl–. The formality of NaCl, however, is 0.1 F because it represents the total amount of NaCl in solution. The rigorous definition of molarity, for better or worse, is largely ignored in the current literature, as it is in this text. When we state that a solution is 0.1 M NaCl we understand it to consist of Na+ and Cl– ions. The unit of formality is used only when it provides a clearer de- scription of solution chemistry. Molar concentrations are used so frequently that a symbolic notation is often used to simplify its expression in equations and writing. The use of square brackets around a species indicates that we are referring to that species’ molar concentration. Thus, [Na+] is read as the “molar concentration of sodium ions.” 2B.2 Normality Normality is an older unit of concentration that, although once commonly used, is frequently ignored in today’s laboratories. Normality is still used in some hand- books of analytical methods, and, for this reason, it is helpful to understand its meaning. For example, normality is the concentration unit used in Standard Meth- ods for the Examination of Water and Wastewater,1 a commonly used source of ana- lytical methods for environmental laboratories. Normality makes use of the chemical equivalent, which is the amount of one chemical species reacting stoichiometrically with another chemical species. Note that this definition makes an equivalent, and thus normality, a function of the chemical reaction in which the species participates. Although a solution of H2SO4 has a fixed molarity, its normality depends on how it reacts. 16 Modern Analytical Chemistry Table 2.4 Common Units for Reporting Concentration Name Unitsa Symbol molarity M formality F normality N molality m weight % % w/w volume % % v/v weight-to-volume % % w/v parts per million ppm parts per billion ppb aFW = formula weight; EW = equivalent weight. moles solute liters solution number F solute liters solution Ws number E solute liters solution Ws m solute k solvent oles g g solute solutiong100 m solute solution L mL100 g solute solutionmL100 g solute solutiong106 g solute g solution109 normality The number of equivalents of solute per liter of solution (N). 1400-CH02 9/8/99 3:48 PM Page 16
The number of equivalents, n, is based on a reaction unit, which is that part of a chemical species involved in a reaction. In a precipitation reaction, for example, the reaction unit is the charge of the cation or anion involved in the reaction; thus for the reaction Pb2+(aq) + 2I–(aq) tPbI2(s) n = 2 for Pb2+ and n = 1 for I–. In an acid–base reaction, the reaction unit is the number of H+ ions donated by an acid or accepted by a base. For the reaction be- tween sulfuric acid and ammonia H2SO4(aq) + 2NH3(aq) t 2NH4 +(aq) + SO4 2–(aq) we find that n = 2 for H2SO4 and n = 1 for NH3. For a complexation reaction, the reaction unit is the number of electron pairs that can be accepted by the metal or donated by the ligand. In the reaction between Ag+ and NH3 Ag+(aq) + 2NH3(aq) t Ag(NH3)2 +(aq) the value of n for Ag+ is 2 and that for NH3 is 1. Finally, in an oxidation–reduction reaction the reaction unit is the number of electrons released by the reducing agent or accepted by the oxidizing agent; thus, for the reaction 2Fe3+(aq) + Sn2+(aq) t Sn4+(aq) + 2Fe2+(aq) n = 1 for Fe3+ and n = 2 for Sn2+. Clearly, determining the number of equivalents for a chemical species requires an understanding of how it reacts. Normality is the number of equivalent weights (EW) per unit volume and, like formality, is independent of speciation. An equivalent weight is defined as the ratio of a chemical species’ formula weight (FW) to the number of its equivalents Consequently, the following simple relationship exists between normality and molarity. N = n × M Example 2.1 illustrates the relationship among chemical reactivity, equivalent weight, and normality. EXAMPLE 2.1 Calculate the equivalent weight and normality for a solution of 6.0 M H3PO4 given the following reactions: (a) H3PO4(aq) + 3OH–(aq) t PO4 3–(aq) + 3H2O(l) (b) H3PO4(aq) + 2NH3(aq) t HPO4 2–(aq) + 2NH4 +(aq) (c) H3PO4(aq) + F–(aq) t H2PO4 –(aq) + HF(aq) SOLUTION For phosphoric acid, the number of equivalents is the number of H+ ions donated to the base. For the reactions in (a), (b), and (c) the number of equivalents are 3, 2, and 1, respectively. Thus, the calculated equivalent weights and normalities are EW = FW n Chapter 2 Basic Tools of Analytical Chemistry 17 equivalent The moles of a species that can donate one reaction unit. equivalent weight The mass of a compound containing one equivalent (EW). formula weight The mass of a compound containing one mole (FW). 1400-CH02 9/8/99 3:48 PM Page 17
18 Modern Analytical Chemistry 2B.3 Molality Molality is used in thermodynamic calculations where a temperature independent unit of concentration is needed. Molarity, formality and normality are based on the volume of solution in which the solute is dissolved. Since density is a temperature de- pendent property a solution’s volume, and thus its molar, formal and normal concen- trations, will change as a function of its temperature. By using the solvent’s mass in place of its volume, the resulting concentration becomes independent of temperature. 2B.4 Weight, Volume, and Weight-to-Volume Ratios Weight percent (% w/w), volume percent (% v/v) and weight-to-volume percent (% w/v) express concentration as units of solute per 100 units of sample. A solution in which a solute has a concentration of 23% w/v contains 23 g of solute per 100 mL of solution. Parts per million (ppm) and parts per billion (ppb) are mass ratios of grams of solute to one million or one billion grams of sample, respectively. For example, a steel that is 450 ppm in Mn contains 450 µg of Mn for every gram of steel. If we approxi- mate the density of an aqueous solution as 1.00 g/mL, then solution concentrations can be expressed in parts per million or parts per billion using the following relationships. For gases a part per million usually is a volume ratio. Thus, a helium concentration of 6.3 ppm means that one liter of air contains 6.3 µL of He. 2B.5 Converting Between Concentration Units The units of concentration most frequently encountered in analytical chemistry are molarity, weight percent, volume percent, weight-to-volume percent, parts per mil- lion, and parts per billion. By recognizing the general definition of concentration given in equation 2.1, it is easy to convert between concentration units. EXAMPLE 2.2 A concentrated solution of aqueous ammonia is 28.0% w/w NH3 and has a density of 0.899 g/mL. What is the molar concentration of NH3 in this solution? SOLUTION 28 0 100 0 899 1 17 04 1000 14 83 3 3 . . . . L g NH g solution g solution m solution mole NH g NH mL liter M× × × = ppm = mg liter ppb = g liter = = µ µ g mL ng mL (a) EW = FW = 97.994 3 = 32.665 N = M = 3 6.0 = 18 N (b) EW = FW = 97.994 2 = 48.997 N = M = 2 6.0 = 12 N (c) EW = = 97.994 1 = 97.994 N = M = 1 6.0 = 6.0 N n n n n n n × × × × × × FW molality The number of moles of solute per kilogram of solvent (m). weight percent Grams of solute per 100 g of solution. (% w/w). volume percent Milliliters of solute per 100 mL of solution (% v/v). weight-to-volume percent Grams of solute per 100 mL of solution (% w/v). parts per million Micrograms of solute per gram of solution; for aqueous solutions the units are often expressed as milligrams of solute per liter of solution (ppm). parts per billion Nanograms of solute per gram of solution; for aqueous solutions the units are often expressed as micrograms of solute per liter of solution (ppb). 1400-CH02 9/8/99 3:48 PM Page 18
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  • 1. E-book biếu tặng học sinh, sinh viên Việt Nam Hội Khuyến Học Thanh Niên Việt Nam Download tại www.ttxva.org
  • 2. Boston Burr Ridge, IL Dubuque, IA Madison, WI New York San Francisco St. Louis Bangkok Bogotá Caracas Lisbon London Madrid Mexico City Milan New Delhi Seoul Singapore Sydney Taipei Toronto CChheemmiissttrryyModern Analytical Chemistry David Harvey DePauw University 1400-Fm 9/9/99 7:37 AM Page i
  • 3. MODERN ANALYTICAL CHEMISTRY Copyright © 2000 by The McGraw-Hill Companies, Inc. All rights reserved. Printed in the United States of America. Except as permitted under the United States Copyright Act of 1976, no part of this publication may be reproduced or distributed in any form or by any means, or stored in a data base or retrieval system, without the prior written permission of the publisher. This book is printed on acid-free paper. 1 2 3 4 5 6 7 8 9 0 KGP/KGP 0 9 8 7 6 5 4 3 2 1 0 ISBN 0–07–237547–7 Vice president and editorial director: Kevin T. Kane Publisher: James M. Smith Sponsoring editor: Kent A. Peterson Editorial assistant: Jennifer L. Bensink Developmental editor: Shirley R. Oberbroeckling Senior marketing manager: Martin J. Lange Senior project manager: Jayne Klein Production supervisor: Laura Fuller Coordinator of freelance design: Michelle D. Whitaker Senior photo research coordinator: Lori Hancock Senior supplement coordinator: Audrey A. Reiter Compositor: Shepherd, Inc. Typeface: 10/12 Minion Printer: Quebecor Printing Book Group/Kingsport Freelance cover/interior designer: Elise Lansdon Cover image: © George Diebold/The Stock Market Photo research: Roberta Spieckerman Associates Colorplates: Colorplates 1–6, 8, 10: © David Harvey/Marilyn E. Culler, photographer; Colorplate 7: Richard Megna/Fundamental Photographs; Colorplate 9: © Alfred Pasieka/Science Photo Library/Photo Researchers, Inc.; Colorplate 11: From H. Black, Environ. Sci. Technol., 1996, 30, 124A. Photos courtesy D. Pesiri and W. Tumas, Los Alamos National Laboratory; Colorplate 12: Courtesy of Hewlett-Packard Company; Colorplate 13: © David Harvey. Library of Congress Cataloging-in-Publication Data Harvey, David, 1956– Modern analytical chemistry / David Harvey. — 1st ed. p. cm. Includes bibliographical references and index. ISBN 0–07–237547–7 1. Chemistry, Analytic. I. Title. QD75.2.H374 2000 543—dc21 99–15120 CIP INTERNATIONAL EDITION ISBN 0–07–116953–9 Copyright © 2000. Exclusive rights by The McGraw-Hill Companies, Inc. for manufacture and export. This book cannot be re-exported from the country to which it is consigned by McGraw-Hill. The International Edition is not available in North America. www.mhhe.com McGraw-Hill Higher Education A Division of The McGraw-Hill Companies 1400-Fm 9/9/99 7:37 AM Page ii
  • 4. iii ContentsContents Preface xii Chapter 1 Introduction 1 1A What is Analytical Chemistry? 2 1B The Analytical Perspective 5 1C Common Analytical Problems 8 1D Key Terms 9 1E Summary 9 1F Problems 9 1G Suggested Readings 10 1H References 10 Chapter 2 Basic Tools of Analytical Chemistry 11 2A Numbers in Analytical Chemistry 12 2A.1 Fundamental Units of Measure 12 2A.2 Significant Figures 13 2B Units for Expressing Concentration 15 2B.1 Molarity and Formality 15 2B.2 Normality 16 2B.3 Molality 18 2B.4 Weight, Volume, and Weight-to-Volume Ratios 18 2B.5 Converting Between Concentration Units 18 2B.6 p-Functions 19 2C Stoichiometric Calculations 20 2C.1 Conservation of Mass 22 2C.2 Conservation of Charge 22 2C.3 Conservation of Protons 22 2C.4 Conservation of Electron Pairs 23 2C.5 Conservation of Electrons 23 2C.6 Using Conservation Principles in Stoichiometry Problems 23 2D Basic Equipment and Instrumentation 25 2D.1 Instrumentation for Measuring Mass 25 2D.2 Equipment for Measuring Volume 26 2D.3 Equipment for Drying Samples 29 2E Preparing Solutions 30 2E.1 Preparing Stock Solutions 30 2E.2 Preparing Solutions by Dilution 31 2F The Laboratory Notebook 32 2G Key Terms 32 2H Summary 33 2I Problems 33 2J Suggested Readings 34 2K References 34 Chapter 3 The Language of Analytical Chemistry 35 3A Analysis, Determination, and Measurement 36 3B Techniques, Methods, Procedures, and Protocols 36 3C Classifying Analytical Techniques 37 3D Selecting an Analytical Method 38 3D.1 Accuracy 38 3D.2 Precision 39 3D.3 Sensitivity 39 3D.4 Selectivity 40 3D.5 Robustness and Ruggedness 42 3D.6 Scale of Operation 42 3D.7 Equipment, Time, and Cost 44 3D.8 Making the Final Choice 44 1400-Fm 9/9/99 7:37 AM Page iii
  • 5. iv Modern Analytical Chemistry 4E.4 Errors in Significance Testing 84 4F Statistical Methods for Normal Distributions 85 4F.1 Comparing – X to µ 85 4F.2 Comparing s2 to σ2 87 4F.3 Comparing Two Sample Variances 88 4F.4 Comparing Two Sample Means 88 4F.5 Outliers 93 4G Detection Limits 95 4H Key Terms 96 4I Summary 96 4J Suggested Experiments 97 4K Problems 98 4L Suggested Readings 102 4M References 102 Chapter 5 Calibrations, Standardizations, and Blank Corrections 104 5A Calibrating Signals 105 5B Standardizing Methods 106 5B.1 Reagents Used as Standards 106 5B.2 Single-Point versus Multiple-Point Standardizations 108 5B.3 External Standards 109 5B.4 Standard Additions 110 5B.5 Internal Standards 115 5C Linear Regression and Calibration Curves 117 5C.1 Linear Regression of Straight-Line Calibration Curves 118 5C.2 Unweighted Linear Regression with Errors in y 119 5C.3 Weighted Linear Regression with Errors in y 124 5C.4 Weighted Linear Regression with Errors in Both x and y 127 5C.5 Curvilinear and Multivariate Regression 127 5D Blank Corrections 128 5E Key Terms 130 5F Summary 130 5G Suggested Experiments 130 5H Problems 131 5I Suggested Readings 133 5J References 134 3E Developing the Procedure 45 3E.1 Compensating for Interferences 45 3E.2 Calibration and Standardization 47 3E.3 Sampling 47 3E.4 Validation 47 3F Protocols 48 3G The Importance of Analytical Methodology 48 3H Key Terms 50 3I Summary 50 3J Problems 51 3K Suggested Readings 52 3L References 52 Chapter 4 Evaluating Analytical Data 53 4A Characterizing Measurements and Results 54 4A.1 Measures of Central Tendency 54 4A.2 Measures of Spread 55 4B Characterizing Experimental Errors 57 4B.1 Accuracy 57 4B.2 Precision 62 4B.3 Error and Uncertainty 64 4C Propagation of Uncertainty 64 4C.1 A Few Symbols 65 4C.2 Uncertainty When Adding or Subtracting 65 4C.3 Uncertainty When Multiplying or Dividing 66 4C.4 Uncertainty for Mixed Operations 66 4C.5 Uncertainty for Other Mathematical Functions 67 4C.6 Is Calculating Uncertainty Actually Useful? 68 4D The Distribution of Measurements and Results 70 4D.1 Populations and Samples 71 4D.2 Probability Distributions for Populations 71 4D.3 Confidence Intervals for Populations 75 4D.4 Probability Distributions for Samples 77 4D.5 Confidence Intervals for Samples 80 4D.6 A Cautionary Statement 81 4E Statistical Analysis of Data 82 4E.1 Significance Testing 82 4E.2 Constructing a Significance Test 83 4E.3 One-Tailed and Two-Tailed Significance Tests 84 1400-Fm 9/9/99 7:37 AM Page iv
  • 6. Contents v Chapter 7 Obtaining and Preparing Samples for Analysis 179 7A The Importance of Sampling 180 7B Designing a Sampling Plan 182 7B.1 Where to Sample the Target Population 182 7B.2 What Type of Sample to Collect 185 7B.3 How Much Sample to Collect 187 7B.4 How Many Samples to Collect 191 7B.5 Minimizing the Overall Variance 192 7C Implementing the Sampling Plan 193 7C.1 Solutions 193 7C.2 Gases 195 7C.3 Solids 196 7D Separating the Analyte from Interferents 201 7E General Theory of Separation Efficiency 202 7F Classifying Separation Techniques 205 7F.1 Separations Based on Size 205 7F.2 Separations Based on Mass or Density 206 7F.3 Separations Based on Complexation Reactions (Masking) 207 7F.4 Separations Based on a Change of State 209 7F.5 Separations Based on a Partitioning Between Phases 211 7G Liquid–Liquid Extractions 215 7G.1 Partition Coefficients and Distribution Ratios 216 7G.2 Liquid–Liquid Extraction with No Secondary Reactions 216 7G.3 Liquid–Liquid Extractions Involving Acid–Base Equilibria 219 7G.4 Liquid–Liquid Extractions Involving Metal Chelators 221 7H Separation versus Preconcentration 223 7I Key Terms 224 7J Summary 224 7K Suggested Experiments 225 7L Problems 226 7M Suggested Readings 230 7N References 231 Chapter 6 Equilibrium Chemistry 135 6A Reversible Reactions and Chemical Equilibria 136 6B Thermodynamics and Equilibrium Chemistry 136 6C Manipulating Equilibrium Constants 138 6D Equilibrium Constants for Chemical Reactions 139 6D.1 Precipitation Reactions 139 6D.2 Acid–Base Reactions 140 6D.3 Complexation Reactions 144 6D.4 Oxidation–Reduction Reactions 145 6E Le Châtelier’s Principle 148 6F Ladder Diagrams 150 6F.1 Ladder Diagrams for Acid–Base Equilibria 150 6F.2 Ladder Diagrams for Complexation Equilibria 153 6F.3 Ladder Diagrams for Oxidation–Reduction Equilibria 155 6G Solving Equilibrium Problems 156 6G.1 A Simple Problem: Solubility of Pb(IO3)2 in Water 156 6G.2 A More Complex Problem: The Common Ion Effect 157 6G.3 Systematic Approach to Solving Equilibrium Problems 159 6G.4 pH of a Monoprotic Weak Acid 160 6G.5 pH of a Polyprotic Acid or Base 163 6G.6 Effect of Complexation on Solubility 165 6H Buffer Solutions 167 6H.1 Systematic Solution to Buffer Problems 168 6H.2 Representing Buffer Solutions with Ladder Diagrams 170 6I Activity Effects 171 6J Two Final Thoughts About Equilibrium Chemistry 175 6K Key Terms 175 6L Summary 175 6M Suggested Experiments 176 6N Problems 176 6O Suggested Readings 178 6P References 178 1400-Fm 9/9/99 7:38 AM Page v
  • 7. vi Modern Analytical Chemistry Chapter 8 Gravimetric Methods of Analysis 232 8A Overview of Gravimetry 233 8A.1 Using Mass as a Signal 233 8A.2 Types of Gravimetric Methods 234 8A.3 Conservation of Mass 234 8A.4 Why Gravimetry Is Important 235 8B Precipitation Gravimetry 235 8B.1 Theory and Practice 235 8B.2 Quantitative Applications 247 8B.3 Qualitative Applications 254 8B.4 Evaluating Precipitation Gravimetry 254 8C Volatilization Gravimetry 255 8C.1 Theory and Practice 255 8C.2 Quantitative Applications 259 8C.3 Evaluating Volatilization Gravimetry 262 8D Particulate Gravimetry 262 8D.1 Theory and Practice 263 8D.2 Quantitative Applications 264 8D.3 Evaluating Precipitation Gravimetry 265 8E Key Terms 265 8F Summary 266 8G Suggested Experiments 266 8H Problems 267 8I Suggested Readings 271 8J References 272 Chapter 9 Titrimetric Methods of Analysis 273 9A Overview of Titrimetry 274 9A.1 Equivalence Points and End Points 274 9A.2 Volume as a Signal 274 9A.3 Titration Curves 275 9A.4 The Buret 277 9B Titrations Based on Acid–Base Reactions 278 9B.1 Acid–Base Titration Curves 279 9B.2 Selecting and Evaluating the End Point 287 9B.3 Titrations in Nonaqueous Solvents 295 9B.4 Representative Method 296 9B.5 Quantitative Applications 298 9B.6 Qualitative Applications 308 9B.7 Characterization Applications 309 9B.8 Evaluation of Acid–Base Titrimetry 311 9C Titrations Based on Complexation Reactions 314 9C.1 Chemistry and Properties of EDTA 315 9C.2 Complexometric EDTA Titration Curves 317 9C.3 Selecting and Evaluating the End Point 322 9C.4 Representative Method 324 9C.5 Quantitative Applications 327 9C.6 Evaluation of Complexation Titrimetry 331 9D Titrations Based on Redox Reactions 331 9D.1 Redox Titration Curves 332 9D.2 Selecting and Evaluating the End Point 337 9D.3 Representative Method 340 9D.4 Quantitative Applications 341 9D.5 Evaluation of Redox Titrimetry 350 9E Precipitation Titrations 350 9E.1 Titration Curves 350 9E.2 Selecting and Evaluating the End Point 354 9E.3 Quantitative Applications 354 9E.4 Evaluation of Precipitation Titrimetry 357 9F Key Terms 357 9G Summary 357 9H Suggested Experiments 358 9I Problems 360 9J Suggested Readings 366 9K References 367 Chapter 10 Spectroscopic Methods of Analysis 368 10A Overview of Spectroscopy 369 10A.1 What Is Electromagnetic Radiation 369 10A.2 Measuring Photons as a Signal 372 10B Basic Components of Spectroscopic Instrumentation 374 10B.1 Sources of Energy 375 10B.2 Wavelength Selection 376 10B.3 Detectors 379 10B.4 Signal Processors 380 10C Spectroscopy Based on Absorption 380 10C.1 Absorbance of Electromagnetic Radiation 380 10C.2 Transmittance and Absorbance 384 10C.3 Absorbance and Concentration: Beer’s Law 385 1400-Fm 9/9/99 7:38 AM Page vi
  • 8. Contents vii 11B Potentiometric Methods of Analysis 465 11B.1 Potentiometric Measurements 466 11B.2 Reference Electrodes 471 11B.3 Metallic Indicator Electrodes 473 11B.4 Membrane Electrodes 475 11B.5 Quantitative Applications 485 11B.6 Evaluation 494 11C Coulometric Methods of Analysis 496 11C.1 Controlled-Potential Coulometry 497 11C.2 Controlled-Current Coulometry 499 11C.3 Quantitative Applications 501 11C.4 Characterization Applications 506 11C.5 Evaluation 507 11D Voltammetric Methods of Analysis 508 11D.1 Voltammetric Measurements 509 11D.2 Current in Voltammetry 510 11D.3 Shape of Voltammograms 513 11D.4 Quantitative and Qualitative Aspects of Voltammetry 514 11D.5 Voltammetric Techniques 515 11D.6 Quantitative Applications 520 11D.7 Characterization Applications 527 11D.8 Evaluation 531 11E Key Terms 532 11F Summary 532 11G Suggested Experiments 533 11H Problems 535 11I Suggested Readings 540 11J References 541 Chapter 12 Chromatographic and Electrophoretic Methods 543 12A Overview of Analytical Separations 544 12A.1 The Problem with Simple Separations 544 12A.2 A Better Way to Separate Mixtures 544 12A.3 Classifying Analytical Separations 546 12B General Theory of Column Chromatography 547 12B.1 Chromatographic Resolution 549 12B.2 Capacity Factor 550 12B.3 Column Selectivity 552 12B.4 Column Efficiency 552 10C.4 Beer’s Law and Multicomponent Samples 386 10C.5 Limitations to Beer’s Law 386 10D Ultraviolet-Visible and Infrared Spectrophotometry 388 10D.1 Instrumentation 388 10D.2 Quantitative Applications 394 10D.3 Qualitative Applications 402 10D.4 Characterization Applications 403 10D.5 Evaluation 409 10E Atomic Absorption Spectroscopy 412 10E.1 Instrumentation 412 10E.2 Quantitative Applications 415 10E.3 Evaluation 422 10F Spectroscopy Based on Emission 423 10G Molecular Photoluminescence Spectroscopy 423 10G.1 Molecular Fluorescence and Phosphorescence Spectra 424 10G.2 Instrumentation 427 10G.3 Quantitative Applications Using Molecular Luminescence 429 10G.4 Evaluation 432 10H Atomic Emission Spectroscopy 434 10H.1 Atomic Emission Spectra 434 10H.2 Equipment 435 10H.3 Quantitative Applications 437 10H.4 Evaluation 440 10I Spectroscopy Based on Scattering 441 10I.1 Origin of Scattering 441 10I.2 Turbidimetry and Nephelometry 441 10J Key Terms 446 10K Summary 446 10L Suggested Experiments 447 10M Problems 450 10N Suggested Readings 458 10O References 459 Chapter 11 Electrochemical Methods of Analysis 461 11A Classification of Electrochemical Methods 462 11A.1 Interfacial Electrochemical Methods 462 11A.2 Controlling and Measuring Current and Potential 462 1400-Fm 9/9/99 7:38 AM Page vii
  • 9. 12B.5 Peak Capacity 554 12B.6 Nonideal Behavior 555 12C Optimizing Chromatographic Separations 556 12C.1 Using the Capacity Factor to Optimize Resolution 556 12C.2 Using Column Selectivity to Optimize Resolution 558 12C.3 Using Column Efficiency to Optimize Resolution 559 12D Gas Chromatography 563 12D.1 Mobile Phase 563 12D.2 Chromatographic Columns 564 12D.3 Stationary Phases 565 12D.4 Sample Introduction 567 12D.5 Temperature Control 568 12D.6 Detectors for Gas Chromatography 569 12D.7 Quantitative Applications 571 12D.8 Qualitative Applications 575 12D.9 Representative Method 576 12D.10 Evaluation 577 12E High-Performance Liquid Chromatography 578 12E.1 HPLC Columns 578 12E.2 Stationary Phases 579 12E.3 Mobile Phases 580 12E.4 HPLC Plumbing 583 12E.5 Sample Introduction 584 12E.6 Detectors for HPLC 584 12E.7 Quantitative Applications 586 12E.8 Representative Method 588 12E.9 Evaluation 589 12F Liquid–Solid Adsorption Chromatography 590 12G Ion-Exchange Chromatography 590 12H Size-Exclusion Chromatography 593 12I Supercritical Fluid Chromatography 596 12J Electrophoresis 597 12J.1 Theory of Capillary Electrophoresis 598 12J.2 Instrumentation 601 12J.3 Capillary Electrophoresis Methods 604 12J.4 Representative Method 607 12J.5 Evaluation 609 12K Key Terms 609 12L Summary 610 12M Suggested Experiments 610 12N Problems 615 viii Modern Analytical Chemistry 12O Suggested Readings 620 12P References 620 Chapter 13 Kinetic Methods of Analysis 622 13A Methods Based on Chemical Kinetics 623 13A.1 Theory and Practice 624 13A.2 Instrumentation 634 13A.3 Quantitative Applications 636 13A.4 Characterization Applications 638 13A.5 Evaluation of Chemical Kinetic Methods 639 13B Radiochemical Methods of Analysis 642 13B.1 Theory and Practice 643 13B.2 Instrumentation 643 13B.3 Quantitative Applications 644 13B.4 Characterization Applications 647 13B.5 Evaluation 648 13C Flow Injection Analysis 649 13C.1 Theory and Practice 649 13C.2 Instrumentation 651 13C.3 Quantitative Applications 655 13C.4 Evaluation 658 13D Key Terms 658 13E Summary 659 13F Suggested Experiments 659 13G Problems 661 13H Suggested Readings 664 13I References 665 Chapter 14 Developing a Standard Method 666 14A Optimizing the Experimental Procedure 667 14A.1 Response Surfaces 667 14A.2 Searching Algorithms for Response Surfaces 668 14A.3 Mathematical Models of Response Surfaces 674 14B Verifying the Method 683 14B.1 Single-Operator Characteristics 683 14B.2 Blind Analysis of Standard Samples 683 14B.3 Ruggedness Testing 684 14B.4 Equivalency Testing 687 1400-Fm 9/9/99 7:38 AM Page viii
  • 10. Contents ix 15D Key Terms 721 15E Summary 722 15F Suggested Experiments 722 15G Problems 722 15H Suggested Readings 724 15I References 724 Appendixes Appendix 1A Single-Sided Normal Distribution 725 Appendix 1B t-Table 726 Appendix 1C F-Table 727 Appendix 1D Critical Values for Q-Test 728 Appendix 1E Random Number Table 728 Appendix 2 Recommended Reagents for Preparing Primary Standards 729 Appendix 3A Solubility Products 731 Appendix 3B Acid Dissociation Constants 732 Appendix 3C Metal–Ligand Formation Constants 739 Appendix 3D Standard Reduction Potentials 743 Appendix 3E Selected Polarographic Half-Wave Potentials 747 Appendix 4 Balancing Redox Reactions 748 Appendix 5 Review of Chemical Kinetics 750 Appendix 6 Countercurrent Separations 755 Appendix 7 Answers to Selected Problems 762 Glossary 769 Index 781 14C Validating the Method as a Standard Method 687 14C.1 Two-Sample Collaborative Testing 688 14C.2 Collaborative Testing and Analysis of Variance 693 14C.3 What Is a Reasonable Result for a Collaborative Study? 698 14D Key Terms 699 14E Summary 699 14F Suggested Experiments 699 14G Problems 700 14H Suggested Readings 704 14I References 704 Chapter 15 Quality Assurance 705 15A Quality Control 706 15B Quality Assessment 708 15B.1 Internal Methods of Quality Assessment 708 15B.2 External Methods of Quality Assessment 711 15C Evaluating Quality Assurance Data 712 15C.1 Prescriptive Approach 712 15C.2 Performance-Based Approach 714 1400-Fm 9/9/99 7:38 AM Page ix
  • 11. x Modern Analytical Chemistry A Guide to Using This Text . . . in Chapter Representative Methods Annotated methods of typical analytical procedures link theory with practice. The format encourages students to think about the design of the procedure and why it works. 246 Modern Analytical Chemistry RepresentativeMethods An additional problem is encountered when the isolated solid is non- stoichiometric. For example, precipitating Mn2+ as Mn(OH)2, followed by heating to produce the oxide, frequently produces a solid with a stoichiometry of MnOx, where x varies between 1 and 2. In this case the nonstoichiometric product results from the formation of a mixture of several oxides that differ in the oxidation state of manganese. Other nonstoichiometric compounds form as a result of lattice de- fects in the crystal structure.6 Representative Method The best way to appreciate the importance of the theoreti- cal and practical details discussed in the previous section is to carefully examine the procedure for a typical precipitation gravimetric method. Although each method has its own unique considerations, the determination of Mg2+ in water and waste- water by precipitating MgNH4PO4 ⋅ 6H2O and isolating Mg2P2O7 provides an in- structive example of a typical procedure. Method 8.1 Determination of Mg2+ in Water and Wastewater7 Description of Method. Magnesium is precipitated as MgNH4PO4 ⋅ 6H2O using (NH4)2HPO4 as the precipitant. The precipitate’s solubility in neutral solutions (0.0065 g/100 mL in pure water at 10 °C) is relatively high, but it is much less soluble in the presence of dilute ammonia (0.0003 g/100 mL in 0.6 M NH3). The precipitant is not very selective, so a preliminary separation of Mg2+ from potential interferents is necessary. Calcium, which is the most significant interferent, is usually removed by its prior precipitation as the oxalate. The presence of excess ammonium salts from the precipitant or the addition of too much ammonia can lead to the formation of Mg(NH4)4(PO4)2, which is subsequently isolated as Mg(PO3)2 after drying. The precipitate is isolated by filtration using a rinse solution of dilute ammonia. After filtering, the precipitate is converted to Mg2P2O7 and weighed. Procedure. Transfer a sample containing no more than 60 mg of Mg2+ into a 600-mL beaker. Add 2–3 drops of methyl red indicator, and, if necessary, adjust the volume to 150 mL. Acidify the solution with 6 M HCl, and add 10 mL of 30% w/v (NH4)2HPO4. After cooling, add concentrated NH3 dropwise, and while constantly stirring, until the methyl red indicator turns yellow (pH > 6.3). After stirring for 5 min, add 5 mL of concentrated NH3, and continue stirring for an additional 10 min. Allow the resulting solution and precipitate to stand overnight. Isolate the precipitate by filtration, rinsing with 5% v/v NH3. Dissolve the precipitate in 50 mL of 10% v/v HCl, and precipitate a second time following the same procedure. After filtering, carefully remove the filter paper by charring. Heat the precipitate at 500 °C until the residue is white, and then bring the precipitate to constant weight at 1100 °C. Questions 1. Why does the procedure call for a sample containing no more than 60 mg of q y There is a serious limitation, however, to an external standardization. The relationship between Sstand and CS in equation 5.3 is determined when the ana- lyte is present in the external standard’s matrix. In using an external standardiza- tion, we assume that any difference between the matrix of the standards and the sample’s matrix has no effect on the value of k. A proportional determinate error is introduced when differences between the two matrices cannot be ignored. This is shown in Figure 5.4, where the relationship between the signal and the amount of analyte is shown for both the sample’s matrix and the standard’s matrix. In this example, using a normal calibration curve results in a negative determinate error. When matrix problems are expected, an effort is made to match the matrix of the standards to that of the sample. This is known as matrix matching. When the sample’s matrix is unknown, the matrix effect must be shown to be negligi- ble, or an alternative method of standardization must be used. Both approaches are discussed in the following sections. 5B.4 Standard Additions The complication of matching the matrix of the standards to that of the sample can be avoided by conducting the standardization in the sample. This is known as the method of standard additions. The simplest version of a standard addi- tion is shown in Figure 5.5. A volume, Vo, of sample is diluted to a final volume, Vf, and the signal, Ssamp is measured. A second identical aliquot of sample is matrix matching Adjusting the matrix of an external standard so that it is the same as the matrix of the samples to be analyzed. method of standard additions A standardization in which aliquots of a standard solution are added to the sample. Examples of Typical Problems Each example problem includes a detailed solution that helps students in applying the chapter’s material to practical problems. Margin Notes Margin notes direct students to colorplates located toward the middle of the book Bold-faced Key Terms with Margin Definitions Key words appear in boldface when they are introduced within the text. The term and its definition appear in the margin for quick review by the student. All key words are also defined in the glossary. 110 Modern Analytical Chemistry either case, the calibration curve provides a means for relating Ssamp to the ana- lyte’s concentration. EXAMPLE 5.3 A second spectrophotometric method for the quantitative determination of Pb2+ levels in blood gives a linear normal calibration curve for which Sstand = (0.296 ppb–1) × CS + 0.003 What is the Pb2+ level (in ppb) in a sample of blood if Ssamp is 0.397? SOLUTION To determine the concentration of Pb2+ in the sample of blood, we replace Sstand in the calibration equation with Ssamp and solve for CA It is worth noting that the calibration equation in this problem includes an extra term that is not in equation 5.3. Ideally, we expect the calibration curve to give a signal of zero when CS is zero. This is the purpose of using a reagent blank to correct the measured signal. The extra term of +0.003 in our calibration equation results from uncertainty in measuring the signal for the reagent blank and the standards. An external standardization allows a related series of samples to be analyzed using a single calibration curve. This is an important advantage in laboratories where many samples are to be analyzed or when the need for a rapid throughput of l i iti l t i i l f th t l t d C S A samp ppb = = = – . . . – . . .– 0 003 0 296 0 397 0 003 0 296 1 331 ppb ppb–1 Color plate 1 shows an example of a set of external standards and their corresponding normal calibration curve. x 1400-Fm 9/9/99 7:38 AM Page x
  • 12. List of Key Terms The key terms introduced within the chapter are listed at the end of each chapter. Page references direct the student to the definitions in the text. Summary The summary provides the student with a brief review of the important concepts within the chapter. Suggested Experiments An annotated list of representative experiments is provided from the Journal of Chemical Education. . . . End of Chapter y y 5E KEY TERMS aliquot (p. 111) external standard (p. 109) internal standard (p. 116) linear regression (p. 118) matrix matching (p. 110) method of standard additions (p. 110) multiple-point standardization (p. 109) normal calibration curve (p. 109) primary reagent (p. 106) reagent grade (p. 107) residual error (p. 118) secondary reagent (p. 107) single-point standardization (p. 108) standard deviation about the regression (p. 121) total Youden blank (p. 129) In a quantitative analysis, we measure a signal and calculate the amount of analyte using one of the following equations. Smeas = knA + Sreag Smeas = kCA + Sreag To obtain accurate results we must eliminate determinate errors affecting the measured signal, Smeas, the method’s sensitivity, k, and any signal due to the reagents, Sreag. To ensure that Smeas is determined accurately, we calibrate the equipment or instrument used to obtain the signal. Balances are calibrated using standard weights. When necessary, we can also correct for the buoyancy of air. Volumetric glassware can be calibrated by measuring the mass of water contained or de- livered and using the density of water to calculate the true vol- ume. Most instruments have calibration standards suggested by the manufacturer. An analytical method is standardized by determining its sensi- tivity. There are several approaches to standardization, including the use of external standards, the method of standard addition, and the use of an internal standard. The most desirable standard- ization strategy is an external standardization. The method of standard additions, in which known amounts of analyte are added to the sample, is used when the sample’s matrix complicates the analysis. An internal standard, which is a species (not analyte) added to all samples and standards, is used when the procedure does not allow for the reproducible handling of samples and standards. Standardizations using a single standard are common, but also are subject to greater uncertainty. Whenever possible, a multiple- point standardization is preferred. The results of a multiple-point standardization are graphed as a calibration curve. A linear regres- sion analysis can provide an equation for the standardization. A reagent blank corrects the measured signal for signals due to reagents other than the sample that are used in an analysis. The most common reagent blank is prepared by omitting the sample. When a simple reagent blank does not compensate for all constant sources of determinate error, other types of blanks, such as the total Youden blank, can be used. 5F SUMMARY Calibration—Volumetric glassware (burets, pipets, and volumetric flasks) can be calibrated in the manner described in Example 5.1. Most instruments have a calibration sample that can be prepared to verify the instrument’s accuracy and precision. For example, as described in this chapter, a solution of 60.06 ppm K2Cr2O7 in 0.0050 M H2SO4 should give an absorbance of 0.640 ± 0.010 at a wavelength of 350.0 nm when using 0.0050 M H2SO4 as a reagent blank. These exercises also provide practice with using volumetric glassware, weighing samples, and preparing solutions. Standardization—External standards, standard additions, and internal standards are a common feature of many quantitative analyses. Suggested experiments using these standardization methods are found in later chapters. A good project experiment for introducing external standardization, standard additions, and the importance of the sample’s matrix is to explore the effect of pH on the quantitative analysis of an acid–base indicator. Using bromothymol blue as an example, external standards can be prepared in a pH 9 buffer and used to analyze samples buffered to different pHs in the range of 6–10. Results can be compared with those obtained using a standard addition. 5G Suggested EXPERIMENTS The following exercises and experiments help connect the material in this chapter to the analytical laboratory. Experiments 1. When working with a solid sample, it often is necessary to bring the analyte into solution by dissolving the sample in a suitable solvent. Any solid impurities that remain are removed by filtration before continuing with the analysis. In a typical total analysis method, the procedure might read After dissolving the sample in a beaker, remove any solid impurities by passing the solution containing the analyte through filter paper, collecting the solution in a clean Erlenmeyer flask. Rinse the beaker with several small portions of solvent, passing these rinsings through the filter paper, and collecting them in the same Erlenmeyer flask. Finally, rinse the filter paper with several portions of solvent, collecting the rinsings in the same Erlenmeyer flask. For a typical concentration method, however, the procedure might state 4. A sample was analyzed to determine the concentration of an analyte. Under the conditions of the analysis, the sensitivity is 17.2 ppm–1. What is the analyte’s concentration if Smeas is 35.2 and Sreag is 0.6? 5. A method for the analysis of Ca2+ in water suffers from an interference in the presence of Zn2+. When the concentration of Ca2+ is 50 times greater than that of Zn2+, an analysis for Ca2+ gives a relative error of –2.0%. What is the value of the selectivity coefficient for this method? 6. The quantitative analysis for reduced glutathione in blood is complicated by the presence of many potential interferents. In one study, when analyzing a solution of 10-ppb glutathione and 1.5-ppb ascorbic acid, the signal was 5.43 times greater than that obtained for the analysis of 10-ppb glutathione.12 What is the selectivity coefficient for this analysis? The same study found that when analyzing a solution of 350-ppb methionine and 10-ppb glutathione the signal was 0 906 times less than that obtained for the analysis 3J PROBLEMS y y The role of analytical chemistry within the broader discipline of chemistry has been discussed by many prominent analytical chemists. Several notable examples follow. Baiulescu, G. E.; Patroescu, C.; Chalmers, R. A. Education and Teaching in Analytical Chemistry. Ellis Horwood: Chichester, 1982. Hieftje, G. M. “The Two Sides of Analytical Chemistry,” Anal. Chem. 1985, 57, 256A–267A. Kissinger, P. T. “Analytical Chemistry—What is It? Who Needs It? Why Teach It?” Trends Anal. Chem. 1992, 11, 54–57. Laitinen, H. A. “Analytical Chemistry in a Changing World,” Anal. Chem. 1980, 52, 605A–609A. Laitinen, H. A. “History of Analytical Chemistry in the U.S.A.,” Talanta 1989, 36, 1–9. Laitinen, H. A.; Ewing, G. (eds). A History of Analytical Chemistry. The Division of Analytical Chemistry of the American Chemical Society: Washington, D.C., 1972. McLafferty, F. W. “Analytical Chemistry: Historic and Modern,” Acc. Chem. Res. 1990, 23, 63–64. 1G SUGGESTED READINGS 1. Ravey, M. Spectroscopy 1990, 5(7), 11. 2. de Haseth, J. Spectroscopy 1990, 5(7), 11. 3. Fresenius, C. R. A System of Instruction in Quantitative Chemical Analysis. John Wiley and Sons: New York, 1881. 4. Hillebrand, W. F.; Lundell, G. E. F. Applied Inorganic Analysis, John Wiley and Sons: New York, 1953. 5. Van Loon, J. C. Analytical Atomic Absorption Spectroscopy. Academic Press: New York, 1980. 6. Murray, R. W. Anal. Chem. 1991, 63, 271A. 7. For several different viewpoints see (a) Beilby, A. L. J. Chem. Educ. 1970, 47, 237–238; (b) Lucchesi, C. A. Am. Lab. 1980, October, 113–119; (c) Atkinson, G. F. J. Chem. Educ. 1982, 59, 201–202; (d) Pardue, H. L.; Woo, J. J. Chem. Educ. 1984, 61, 409–412; (e) Guarnieri, M. J. Chem. Educ. 1988, 65, 201–203; (f) de Haseth, J. Spectroscopy 1990, 5, 20–21; (g) Strobel, H. A. Am. Lab. 1990, October, 17–24. 8. Hieftje, G. M. Am. Lab. 1993, October, 53–61. 9. See, for example, the following laboratory texts: (a) Sorum, C. H.; Lagowski, J. J. Introduction to Semimicro Qualitative Analysis, 5th ed. Prentice-Hall: Englewood Cliffs, NJ, 1977.; (b) Shriner, R. L.; Fuson, R. C.; Curtin, D. Y. The Systematic Identification of Organic Compounds, 5th ed. John Wiley and Sons: New York, 1964. 1H REFERENCES Problems A variety of problems, many based on data from the analytical literature, provide the student with practical examples of current research. Suggested Readings Suggested readings give the student access to more comprehensive discussion of the topics introduced within the chapter. References The references cited in the chapter are provided so the student can access them for further information. xi 1400-Fm 9/9/99 7:38 AM Page xi
  • 13. As currently taught, the introductory course in analytical chemistry emphasizes quantitative (and sometimes qualitative) methods of analysis coupled with a heavy dose of equilibrium chemistry. Analytical chemistry, however, is more than equilib- rium chemistry and a collection of analytical methods; it is an approach to solving chemical problems. Although discussing different methods is important, that dis- cussion should not come at the expense of other equally important topics. The intro- ductory analytical course is the ideal place in the chemistry curriculum to explore topics such as experimental design, sampling, calibration strategies, standardization, optimization, statistics, and the validation of experimental results. These topics are important in developing good experimental protocols, and in interpreting experi- mental results. If chemistry is truly an experimental science, then it is essential that all chemistry students understand how these topics relate to the experiments they conduct in other chemistry courses. Currently available textbooks do a good job of covering the diverse range of wet and instrumental analysis techniques available to chemists. Although there is some disagreement about the proper balance between wet analytical techniques, such as gravimetry and titrimetry, and instrumental analysis techniques, such as spec- trophotometry, all currently available textbooks cover a reasonable variety of tech- niques. These textbooks, however, neglect, or give only brief consideration to, obtaining representative samples, handling interferents, optimizing methods, ana- lyzing data, validating data, and ensuring that data are collected under a state of sta- tistical control. In preparing this textbook, I have tried to find a more appropriate balance between theory and practice, between “classical” and “modern” methods of analysis, between analyzing samples and collecting and preparing samples for analysis, and between analytical methods and data analysis. Clearly, the amount of material in this textbook exceeds what can be covered in a single semester; it’s my hope, however, that the diversity of topics will meet the needs of different instructors, while, per- haps, suggesting some new topics to cover. The anticipated audience for this textbook includes students majoring in chem- istry, and students majoring in other science disciplines (biology, biochemistry, environmental science, engineering, and geology, to name a few), interested in obtaining a stronger background in chemical analysis. It is particularly appropriate for chemistry majors who are not planning to attend graduate school, and who often do not enroll in those advanced courses in analytical chemistry that require physical chemistry as a pre-requisite. Prior coursework of a year of general chemistry is assumed. Competence in algebra is essential; calculus is used on occasion, however, its presence is not essential to the material’s treatment. xii Preface Preface 1400-Fm 9/9/99 7:38 AM Page xii
  • 14. Preface xiii Key Features of This Textbook Key features set this textbook apart from others currently available. • A stronger emphasis on the evaluation of data. Methods for characterizing chemical measurements, results, and errors (including the propagation of errors) are included. Both the binomial distribution and normal distribution are presented, and the idea of a confidence interval is developed. Statistical methods for evaluating data include the t-test (both for paired and unpaired data), the F-test, and the treatment of outliers. Detection limits also are discussed from a statistical perspective. Other statistical methods, such as ANOVA and ruggedness testing, are presented in later chapters. • Standardizations and calibrations are treated in a single chapter. Selecting the most appropriate calibration method is important and, for this reason, the methods of external standards, standard additions, and internal standards are gathered together in a single chapter. A discussion of curve-fitting, including the statistical basis for linear regression (with and without weighting) also is included in this chapter. • More attention to selecting and obtaining a representative sample. The design of a statistically based sampling plan and its implementation are discussed earlier, and in more detail than in other textbooks. Topics that are covered include how to obtain a representative sample, how much sample to collect, how many samples to collect, how to minimize the overall variance for an analytical method, tools for collecting samples, and sample preservation. • The importance of minimizing interferents is emphasized. Commonly used methods for separating interferents from analytes, such as distillation, masking, and solvent extraction, are gathered together in a single chapter. • Balanced coverage of analytical techniques. The six areas of analytical techniques—gravimetry, titrimetry, spectroscopy, electrochemistry, chromatography, and kinetics—receive roughly equivalent coverage, meeting the needs of instructors wishing to emphasize wet methods and those emphasizing instrumental methods. Related methods are gathered together in a single chapter encouraging students to see the similarities between methods, rather than focusing on their differences. • An emphasis on practical applications. Throughout the text applications from organic chemistry, inorganic chemistry, environmental chemistry, clinical chemistry, and biochemistry are used in worked examples, representative methods, and end-of-chapter problems. • Representative methods link theory with practice. An important feature of this text is the presentation of representative methods. These boxed features present typical analytical procedures in a format that encourages students to think about why the procedure is designed as it is. • Separate chapters on developing a standard method and quality assurance. Two chapters provide coverage of methods used in developing a standard method of analysis, and quality assurance. The chapter on developing a standard method includes topics such as optimizing experimental conditions using response surfaces, verifying the method through the blind analysis of standard samples and ruggedness testing, and collaborative testing using Youden’s two-sample approach and ANOVA. The chapter on quality assurance covers quality control and internal and external techniques for quality assessment, including the use of duplicate samples, blanks, spike recoveries, and control charts. 1400-Fm 9/9/99 7:38 AM Page xiii
  • 15. • Problems adapted from the literature. Many of the in-chapter examples and end- of-chapter problems are based on data from the analytical literature, providing students with practical examples of current research in analytical chemistry. • An emphasis on critical thinking. Critical thinking is encouraged through problems in which students are asked to explain why certain steps in an analytical procedure are included, or to determine the effect of an experimental error on the results of an analysis. • Suggested experiments from the Journal of Chemical Education. Rather than including a short collection of experiments emphasizing the analysis of standard unknowns, an annotated list of representative experiments from the Journal of Chemical Education is included at the conclusion of most chapters. These experiments may serve as stand alone experiments, or as starting points for individual or group projects. The Role of Equilibrium Chemistry in Analytical Chemistry Equilibrium chemistry often receives a significant emphasis in the introductory ana- lytical chemistry course. While an important topic, its overemphasis can cause stu- dents to confuse analytical chemistry with equilibrium chemistry. Although atten- tion to solving equilibrium problems is important, it is equally important for stu- dents to recognize when such calculations are impractical, or when a simpler, more qualitative approach is all that is needed. For example, in discussing the gravimetric analysis of Ag+ as AgCl, there is little point in calculating the equilibrium solubility of AgCl since the concentration of Cl– at equilibrium is rarely known. It is impor- tant, however, to qualitatively understand that a large excess of Cl– increases the sol- ubility of AgCl due to the formation of soluble silver-chloro complexes. Balancing the presentation of a rigorous approach to solving equilibrium problems, this text also introduces the use of ladder diagrams as a means for providing a qualitative pic- ture of a system at equilibrium. Students are encouraged to use the approach best suited to the problem at hand. Computer Software Many of the topics covered in analytical chemistry benefit from the availability of appropriate computer software. In preparing this text, however, I made a conscious decision to avoid a presentation tied to a single computer platform or software pack- age. Students and faculty are increasingly experienced in the use of computers, spreadsheets, and data analysis software; their use is, I think, best left to the person- al choice of each student and instructor. Organization The textbook’s organization can be divided into four parts. Chapters 1–3 serve as an introduction, providing an overview of analytical chemistry (Chapter 1); a review of the basic tools of analytical chemistry, including significant figures, units, and stoi- chiometry (Chapter 2); and an introduction to the terminology used by analytical chemists (Chapter 3). Familiarity with the material in these chapters is assumed throughout the remainder of the text. Chapters 4–7 cover a number of topics that are important in understanding how a particular analytical method works. Later chapters are mostly independent of the material in these chapters. Instructors may pick and choose from among the topics xiv Preface 1400-Fm 9/9/99 7:38 AM Page xiv
  • 16. Preface xv of these chapters, as needed, to support individual course goals. The statistical analy- sis of data is covered in Chapter 4 at a level that is more complete than that found in other introductory analytical textbooks. Methods for calibrating equipment, stan- dardizing methods, and linear regression are gathered together in Chapter 5. Chapter 6 provides an introduction to equilibrium chemistry, stressing both the rigorous solution to equilibrium problems, and the use of semi-quantitative approaches, such as ladder diagrams. The importance of collecting the right sample, and methods for separating analytes and interferents are covered in Chapter 7. Chapters 8–13 cover the major areas of analysis, including gravimetry (Chapter 8), titrimetry (Chapter 9), spectroscopy (Chapter 10), electrochemistry (Chapter 11), chromatography and electrophoresis (Chapter 12), and kinetic meth- ods (Chapter 13). Related techniques, such as acid–base titrimetry and redox titrimetry, or potentiometry and voltammetry, are gathered together in single chap- ters. Combining related techniques together encourages students to see the similar- ities between methods, rather than focusing on their differences. The first technique presented in each chapter is generally that which is most commonly covered in the introductory course. Finally, the textbook concludes with two chapters discussing the design and maintenance of analytical methods, two topics of importance to analytical chemists. Chapter 14 considers the development of an analytical method, including its opti- mization, verification, and validation. Quality control and quality assessment are discussed in Chapter 15. Acknowledgments Before beginning an academic career I was, of course, a student. My interest in chemistry and teaching was nurtured by many fine teachers at Westtown Friends School, Knox College, and the University of North Carolina at Chapel Hill; their col- lective influence continues to bear fruit. In particular, I wish to recognize David MacInnes, Alan Hiebert, Robert Kooser, and Richard Linton. I have been fortunate to work with many fine colleagues during my nearly 17 years of teaching undergraduate chemistry at Stockton State College and DePauw University. I am particularly grateful for the friendship and guidance provided by Jon Griffiths and Ed Paul during my four years at Stockton State College. At DePauw University, Jim George and Bryan Hanson have willingly shared their ideas about teaching, while patiently listening to mine. Approximately 300 students have joined me in thinking and learning about ana- lytical chemistry; their questions and comments helped guide the development of this textbook. I realize that working without a formal textbook has been frustrating and awkward; all the more reason why I appreciate their effort and hard work. The following individuals reviewed portions of this textbook at various stages during its development. David Ballantine Northern Illinois University John E. Bauer Illinois State University Ali Bazzi University of Michigan–Dearborn Steven D. Brown University of Delaware Wendy Clevenger University of Tennessee–Chattanooga Cathy Cobb Augusta State University Paul Flowers University of North Carolina–Pembroke Nancy Gordon University of Southern Maine 1400-Fm 9/9/99 7:38 AM Page xv
  • 17. Virginia M. Indivero Swarthmore College Michael Janusa Nicholls State University J. David Jenkins Georgia Southern University Richard S. Mitchell Arkansas State University George A. Pearse, Jr. Le Moyne College Gary Rayson New Mexico State University David Redfield NW Nazarene University I am particularly grateful for their detailed written comments and suggestions for improving the manuscript. Much of what is good in the final manuscript is the result of their interest and ideas. George Foy (York College of Pennsylvania), John McBride (Hofstra University), and David Karpovich (Saginaw Valley State University) checked the accuracy of problems in the textbook. Gary Kinsel (University of Texas at Arlington) reviewed the page proofs and provided additional suggestions. This project began in the summer of 1992 with the support of a course develop- ment grant from DePauw University’s Faculty Development Fund. Additional finan- cial support from DePauw University’s Presidential Discretionary Fund also is acknowledged. Portions of the first draft were written during a sabbatical leave in the Fall semester of the 1993/94 academic year. A Fisher Fellowship provided release time during the Fall 1995 semester to complete the manuscript’s second draft. Alltech and Associates (Deerfield, IL) graciously provided permission to use the chromatograms in Chapter 12; the assistance of Jim Anderson, Vice-President, and Julia Poncher, Publications Director, is greatly appreciated. Fred Soster and Marilyn Culler, both of DePauw University, provided assistance with some of the photographs. The editorial staff at McGraw-Hill has helped guide a novice through the process of developing this text. I am particularly thankful for the encouragement and confidence shown by Jim Smith, Publisher for Chemistry, and Kent Peterson, Sponsoring Editor for Chemistry. Shirley Oberbroeckling, Developmental Editor for Chemistry, and Jayne Klein, Senior Project Manager, patiently answered my ques- tions and successfully guided me through the publishing process. Finally, I would be remiss if I did not recognize the importance of my family’s support and encouragement, particularly that of my parents. A very special thanks to my daughter, Devon, for gifts too numerous to detail. How to Contact the Author Writing this textbook has been an interesting (and exhausting) challenge. Despite my efforts, I am sure there are a few glitches, better examples, more interesting end- of-chapter problems, and better ways to think about some of the topics. I welcome your comments, suggestions, and data for interesting problems, which may be addressed to me at DePauw University, 602 S. College St., Greencastle, IN 46135, or electronically at [email protected]. xvi Preface Vincent Remcho West Virginia University Jeanette K. Rice Georgia Southern University Martin W. Rowe Texas A&M University Alexander Scheeline University of Illinois James D. Stuart University of Connecticut Thomas J. Wenzel Bates College David Zax Cornell University 1400-Fm 9/9/99 7:38 AM Page xvi
  • 18. CChhaapptteerr 1 1 Introduction Chemistry is the study of matter, including its composition, structure, physical properties, and reactivity. There are many approaches to studying chemistry, but, for convenience, we traditionally divide it into five fields: organic, inorganic, physical, biochemical, and analytical. Although this division is historical and arbitrary, as witnessed by the current interest in interdisciplinary areas such as bioanalytical and organometallic chemistry, these five fields remain the simplest division spanning the discipline of chemistry. Training in each of these fields provides a unique perspective to the study of chemistry. Undergraduate chemistry courses and textbooks are more than a collection of facts; they are a kind of apprenticeship. In keeping with this spirit, this text introduces the field of analytical chemistry and the unique perspectives that analytical chemists bring to the study of chemistry. 1400-CH01 9/9/99 2:20 PM Page 1
  • 19. 2 Modern Analytical Chemistry *Attributed to C. N. Reilley (1925–1981) on receipt of the 1965 Fisher Award in Analytical Chemistry. Reilley, who was a professor of chemistry at the University of North Carolina at Chapel Hill, was one of the most influential analytical chemists of the last half of the twentieth century. 1A What Is Analytical Chemistry? “Analytical chemistry is what analytical chemists do.”* We begin this section with a deceptively simple question. What is analytical chem- istry? Like all fields of chemistry, analytical chemistry is too broad and active a disci- pline for us to easily or completely define in an introductory textbook. Instead, we will try to say a little about what analytical chemistry is, as well as a little about what analytical chemistry is not. Analytical chemistry is often described as the area of chemistry responsible for characterizing the composition of matter, both qualitatively (what is present) and quantitatively (how much is present). This description is misleading. After all, al- most all chemists routinely make qualitative or quantitative measurements. The ar- gument has been made that analytical chemistry is not a separate branch of chem- istry, but simply the application of chemical knowledge.1 In fact, you probably have performed quantitative and qualitative analyses in other chemistry courses. For ex- ample, many introductory courses in chemistry include qualitative schemes for identifying inorganic ions and quantitative analyses involving titrations. Unfortunately, this description ignores the unique perspective that analytical chemists bring to the study of chemistry. The craft of analytical chemistry is not in performing a routine analysis on a routine sample (which is more appropriately called chemical analysis), but in improving established methods, extending existing methods to new types of samples, and developing new methods for measuring chemical phenomena.2 Here’s one example of this distinction between analytical chemistry and chemi- cal analysis. Mining engineers evaluate the economic feasibility of extracting an ore by comparing the cost of removing the ore with the value of its contents. To esti- mate its value they analyze a sample of the ore. The challenge of developing and val- idating the method providing this information is the analytical chemist’s responsi- bility. Once developed, the routine, daily application of the method becomes the job of the chemical analyst. Another distinction between analytical chemistry and chemical analysis is that analytical chemists work to improve established methods. For example, sev- eral factors complicate the quantitative analysis of Ni2+ in ores, including the presence of a complex heterogeneous mixture of silicates and oxides, the low con- centration of Ni2+ in ores, and the presence of other metals that may interfere in the analysis. Figure 1.1 is a schematic outline of one standard method in use dur- ing the late nineteenth century.3 After dissolving a sample of the ore in a mixture of H2SO4 and HNO3, trace metals that interfere with the analysis, such as Pb2+, Cu2+ and Fe3+, are removed by precipitation. Any cobalt and nickel in the sample are reduced to Co and Ni, isolated by filtration and weighed (point A). After dissolving the mixed solid, Co is isolated and weighed (point B). The amount of nickel in the ore sample is determined from the difference in the masses at points A and B. %Ni = mass point A – mass point B mass sample × 100 1400-CH01 9/9/99 2:20 PM Page 2
  • 20. Chapter 1 Introduction 3 Original Sample PbSO4 Sand Basic ferric acetate CuS 1:3 H2SO4/HNO3 100°C (8–10 h) dilute w/H2O, digest 2–4 h Cu2+, Fe3+ Co2+, Ni2+ Fe3+, Co2+, Ni2+ Fe(OH)3 CoS, NiS CuS, PbS Co(OH)2, Ni(OH)2 CoO, NiO cool, add NH3 digest 50°–70°, 30 min Co2+, Ni2+ Fe3+ Waste Waste Co2+ , Ni2+ aqua regia heat, add HCl until strongly acidic bubble H2S (g) WasteCo2+ Solid Key Solution H2O, HCl heat add Na2CO3 until alkaline NaOH K3Co(NO3)5Ni2+ neutralize w/ NH3 Na2CO3, CH3COOH slightly acidify w/ HCl heat, bubble H2S (g) HCl heat Co as above Co, Ni heat, H2 (g) HNO3 K2CO3, KNO3 CH3COOH digest 24 h dilute bubble H2S(g) A B Figure 1.1 Analytical scheme outlined by Fresenius3 for the gravimetric analysis of Ni in ores. 1400-CH01 9/9/99 2:20 PM Page 3
  • 21. The combination of determining the mass of Ni2+ by difference, coupled with the need for many reactions and filtrations makes this procedure both time-consuming and difficult to perform accurately. The development, in 1905, of dimethylgloxime (DMG), a reagent that selec- tively precipitates Ni2+ and Pd2+, led to an improved analytical method for deter- mining Ni2+ in ores.4 As shown in Figure 1.2, the mass of Ni2+ is measured directly, requiring fewer manipulations and less time. By the 1970s, the standard method for the analysis of Ni2+ in ores progressed from precipitating Ni(DMG)2 to flame atomic absorption spectrophotometry,5 resulting in an even more rapid analysis. Current interest is directed toward using inductively coupled plasmas for determin- ing trace metals in ores. In summary, a more appropriate description of analytical chemistry is “. . . the science of inventing and applying the concepts, principles, and . . . strategies for measuring the characteristics of chemical systems and species.”6 Analytical chemists typically operate at the extreme edges of analysis, extending and improving the abil- ity of all chemists to make meaningful measurements on smaller samples, on more complex samples, on shorter time scales, and on species present at lower concentra- tions. Throughout its history, analytical chemistry has provided many of the tools and methods necessary for research in the other four traditional areas of chemistry, as well as fostering multidisciplinary research in, to name a few, medicinal chem- istry, clinical chemistry, toxicology, forensic chemistry, material science, geochem- istry, and environmental chemistry. 4 Modern Analytical Chemistry Original sample Residue Ni(DMG)2(s) HNO3, HCl, heat Solution Solid Key Solution 20% NH4Cl 10% tartaric acid take alkaline with 1:1 NH3 Yes No A take acid with HCl 1% alcoholic DMG take alkaline with 1:1 NH3 take acid with HCl 10% tartaric acid take alkaline with 1:1 NH3 Is solid present? %Ni = × 100 mass A × 0.2031 g sample Figure 1.2 Analytical scheme outlined by Hillebrand and Lundell4 for the gravimetric analysis of Ni in ores (DMG = dimethylgloxime). The factor of 0.2031 in the equation for %Ni accounts for the difference in the formula weights of Ni(DMG)2 and Ni; see Chapter 8 for more details. 1400-CH01 9/9/99 2:20 PM Page 4
  • 22. Chapter 1 Introduction 5 You will come across numerous examples of qualitative and quantitative meth- ods in this text, most of which are routine examples of chemical analysis. It is im- portant to remember, however, that nonroutine problems prompted analytical chemists to develop these methods. Whenever possible, we will try to place these methods in their appropriate historical context. In addition, examples of current re- search problems in analytical chemistry are scattered throughout the text. The next time you are in the library, look through a recent issue of an analyti- cally oriented journal, such as Analytical Chemistry. Focus on the titles and abstracts of the research articles. Although you will not recognize all the terms and methods, you will begin to answer for yourself the question “What is analytical chemistry”? 1B The Analytical Perspective Having noted that each field of chemistry brings a unique perspective to the study of chemistry, we now ask a second deceptively simple question. What is the “analyt- ical perspective”? Many analytical chemists describe this perspective as an analytical approach to solving problems.7 Although there are probably as many descriptions of the analytical approach as there are analytical chemists, it is convenient for our purposes to treat it as a five-step process: 1. Identify and define the problem. 2. Design the experimental procedure. 3. Conduct an experiment, and gather data. 4. Analyze the experimental data. 5. Propose a solution to the problem. Figure 1.3 shows an outline of the analytical approach along with some im- portant considerations at each step. Three general features of this approach de- serve attention. First, steps 1 and 5 provide opportunities for analytical chemists to collaborate with individuals outside the realm of analytical chemistry. In fact, many problems on which analytical chemists work originate in other fields. Sec- ond, the analytical approach is not linear, but incorporates a “feedback loop” consisting of steps 2, 3, and 4, in which the outcome of one step may cause a reevaluation of the other two steps. Finally, the solution to one problem often suggests a new problem. Analytical chemistry begins with a problem, examples of which include evalu- ating the amount of dust and soil ingested by children as an indicator of environ- mental exposure to particulate based pollutants, resolving contradictory evidence regarding the toxicity of perfluoro polymers during combustion, or developing rapid and sensitive detectors for chemical warfare agents.* At this point the analyti- cal approach involves a collaboration between the analytical chemist and the indi- viduals responsible for the problem. Together they decide what information is needed. It is also necessary for the analytical chemist to understand how the prob- lem relates to broader research goals. The type of information needed and the prob- lem’s context are essential to designing an appropriate experimental procedure. Designing an experimental procedure involves selecting an appropriate method of analysis based on established criteria, such as accuracy, precision, sensitivity, and detection limit; the urgency with which results are needed; the cost of a single analy- sis; the number of samples to be analyzed; and the amount of sample available for *These examples are taken from a series of articles, entitled the “Analytical Approach,” which has appeared as a regular feature in the journal Analytical Chemistry since 1974. 1400-CH01 9/9/99 2:20 PM Page 5
  • 23. Figure 1.3 Flow diagram for the analytical approach to solving problems; modified after Atkinson.7c analysis. Finding an appropriate balance between these parameters is frequently complicated by their interdependence. For example, improving the precision of an analysis may require a larger sample. Consideration is also given to collecting, stor- ing, and preparing samples, and to whether chemical or physical interferences will affect the analysis. Finally, a good experimental procedure may still yield useless in- formation if there is no method for validating the results. The most visible part of the analytical approach occurs in the laboratory. As part of the validation process, appropriate chemical or physical standards are used to calibrate any equipment being used and any solutions whose concentrations must be known. The selected samples are then analyzed and the raw data recorded. The raw data collected during the experiment are then analyzed. Frequently the data must be reduced or transformed to a more readily analyzable form. A statistical treatment of the data is used to evaluate the accuracy and precision of the analysis and to validate the procedure. These results are compared with the criteria estab- lished during the design of the experiment, and then the design is reconsidered, ad- ditional experimental trials are run, or a solution to the problem is proposed. When a solution is proposed, the results are subject to an external evaluation that may re- sult in a new problem and the beginning of a new analytical cycle. 6 Modern Analytical Chemistry 1. Identify the problem Determine type of information needed (qualitative, quantitative, characterization, or fundamental) Identify context of the problem 2. Design the experimental procedure Establish design criteria (accuracy, precision, scale of operation, sensitivity, selectivity, cost, speed) Identify interferents Select method Establish validation criteria Establish sampling strategy Feedback loop 3. Conduct an experiment Calibrate instruments and equipment Standardize reagents Gather data 4. Analyze the experimental data Reduce or transform data Analyze statistics Verify results Interpret results 5. Propose a solution Conduct external evaluation 1400-CH01 9/9/99 2:20 PM Page 6
  • 24. As an exercise, let’s adapt this model of the analytical approach to a real prob- lem. For our example, we will use the determination of the sources of airborne pol- lutant particles. A description of the problem can be found in the following article: “Tracing Aerosol Pollutants with Rare Earth Isotopes” by Ondov, J. M.; Kelly, W. R. Anal. Chem. 1991, 63, 691A–697A. Before continuing, take some time to read the article, locating the discussions per- taining to each of the five steps outlined in Figure 1.3. In addition, consider the fol- lowing questions: 1. What is the analytical problem? 2. What type of information is needed to solve the problem? 3. How will the solution to this problem be used? 4. What criteria were considered in designing the experimental procedure? 5. Were there any potential interferences that had to be eliminated? If so, how were they treated? 6. Is there a plan for validating the experimental method? 7. How were the samples collected? 8. Is there evidence that steps 2, 3, and 4 of the analytical approach are repeated more than once? 9. Was there a successful conclusion to the problem? According to our model, the analytical approach begins with a problem. The motivation for this research was to develop a method for monitoring the transport of solid aerosol particulates following their release from a high-temperature com- bustion source. Because these particulates contain significant concentrations of toxic heavy metals and carcinogenic organic compounds, they represent a signifi- cant environmental hazard. An aerosol is a suspension of either a solid or a liquid in a gas. Fog, for exam- ple, is a suspension of small liquid water droplets in air, and smoke is a suspension of small solid particulates in combustion gases. In both cases the liquid or solid par- ticulates must be small enough to remain suspended in the gas for an extended time. Solid aerosol particulates, which are the focus of this problem, usually have micrometer or submicrometer diameters. Over time, solid particulates settle out from the gas, falling to the Earth’s surface as dry deposition. Existing methods for monitoring the transport of gases were inadequate for studying aerosols. To solve the problem, qualitative and quantitative information were needed to determine the sources of pollutants and their net contribution to the total dry deposition at a given location. Eventually the methods developed in this study could be used to evaluate models that estimate the contributions of point sources of pollution to the level of pollution at designated locations. Following the movement of airborne pollutants requires a natural or artificial tracer (a species specific to the source of the airborne pollutants) that can be exper- imentally measured at sites distant from the source. Limitations placed on the tracer, therefore, governed the design of the experimental procedure. These limita- tions included cost, the need to detect small quantities of the tracer, and the ab- sence of the tracer from other natural sources. In addition, aerosols are emitted from high-temperature combustion sources that produce an abundance of very re- active species. The tracer, therefore, had to be both thermally and chemically stable. On the basis of these criteria, rare earth isotopes, such as those of Nd, were selected as tracers. The choice of tracer, in turn, dictated the analytical method (thermal ionization mass spectrometry, or TIMS) for measuring the isotopic abundances of Chapter 1 Introduction 7 1400-CH01 9/9/99 2:20 PM Page 7
  • 25. 8 Modern Analytical Chemistry qualitative analysis An analysis in which we determine the identity of the constituent species in a sample. Nd in samples. Unfortunately, mass spectrometry is not a selective technique. A mass spectrum provides information about the abundance of ions with a given mass. It cannot distinguish, however, between different ions with the same mass. Consequently, the choice of TIMS required developing a procedure for separating the tracer from the aerosol particulates. Validating the final experimental protocol was accomplished by running a model study in which 148Nd was released into the atmosphere from a 100-MW coal utility boiler. Samples were collected at 13 locations, all of which were 20 km from the source. Experimental results were compared with predictions determined by the rate at which the tracer was released and the known dispersion of the emissions. Finally, the development of this procedure did not occur in a single, linear pass through the analytical approach. As research progressed, problems were encoun- tered and modifications made, representing a cycle through steps 2, 3, and 4 of the analytical approach. Others have pointed out, with justification, that the analytical approach out- lined here is not unique to analytical chemistry, but is common to any aspect of sci- ence involving analysis.8 Here, again, it helps to distinguish between a chemical analysis and analytical chemistry. For other analytically oriented scientists, such as physical chemists and physical organic chemists, the primary emphasis is on the problem, with the results of an analysis supporting larger research goals involving fundamental studies of chemical or physical processes. The essence of analytical chemistry, however, is in the second, third, and fourth steps of the analytical ap- proach. Besides supporting broader research goals by developing and validating an- alytical methods, these methods also define the type and quality of information available to other research scientists. In some cases, the success of an analytical method may even suggest new research problems. 1C Common Analytical Problems In Section 1A we indicated that analytical chemistry is more than a collection of qualitative and quantitative methods of analysis. Nevertheless, many problems on which analytical chemists work ultimately involve either a qualitative or quantita- tive measurement. Other problems may involve characterizing a sample’s chemical or physical properties. Finally, many analytical chemists engage in fundamental studies of analytical methods. In this section we briefly discuss each of these four areas of analysis. Many problems in analytical chemistry begin with the need to identify what is present in a sample. This is the scope of a qualitative analysis, examples of which include identifying the products of a chemical reaction, screening an athlete’s urine for the presence of a performance-enhancing drug, or determining the spatial dis- tribution of Pb on the surface of an airborne particulate. Much of the early work in analytical chemistry involved the development of simple chemical tests to identify the presence of inorganic ions and organic functional groups. The classical labora- tory courses in inorganic and organic qualitative analysis,9 still taught at some schools, are based on this work. Currently, most qualitative analyses use methods such as infrared spectroscopy, nuclear magnetic resonance, and mass spectrometry. These qualitative applications of identifying organic and inorganic compounds are covered adequately elsewhere in the undergraduate curriculum and, so, will receive no further consideration in this text. 1400-CH01 9/9/99 2:20 PM Page 8
  • 26. Perhaps the most common type of problem encountered in the analytical lab is a quantitative analysis. Examples of typical quantitative analyses include the ele- mental analysis of a newly synthesized compound, measuring the concentration of glucose in blood, or determining the difference between the bulk and surface con- centrations of Cr in steel. Much of the analytical work in clinical, pharmaceutical, environmental, and industrial labs involves developing new methods for determin- ing the concentration of targeted species in complex samples. Most of the examples in this text come from the area of quantitative analysis. Another important area of analytical chemistry, which receives some attention in this text, is the development of new methods for characterizing physical and chemical properties. Determinations of chemical structure, equilibrium constants, particle size, and surface structure are examples of a characterization analysis. The purpose of a qualitative, quantitative, and characterization analysis is to solve a problem associated with a sample. A fundamental analysis, on the other hand, is directed toward improving the experimental methods used in the other areas of analytical chemistry. Extending and improving the theory on which a method is based, studying a method’s limitations, and designing new and modify- ing old methods are examples of fundamental studies in analytical chemistry. Chapter 1 Introduction 9 characterization analysis An analysis in which we evaluate a sample’s chemical or physical properties. fundamental analysis An analysis whose purpose is to improve an analytical method’s capabilities. quantitative analysis An analysis in which we determine how much of a constituent species is present in a sample. 1D KEY TERMS characterization analysis (p. 9) fundamental analysis (p. 9) qualitative analysis (p. 8) quantitative analysis (p. 9) Analytical chemists work to improve the ability of all chemists to make meaningful measurements. Chemists working in medicinal chemistry, clinical chemistry, forensic chemistry, and environ- mental chemistry, as well as the more traditional areas of chem- istry, need better tools for analyzing materials. The need to work with smaller quantities of material, with more complex materi- als, with processes occurring on shorter time scales, and with species present at lower concentrations challenges analytical chemists to improve existing analytical methods and to develop new analytical techniques. Typical problems on which analytical chemists work include qualitative analyses (what is present?), quantitative analyses (how much is present?), characterization analyses (what are the material’s chemical and physical properties?), and funda- mental analyses (how does this method work and how can it be improved?). 1E SUMMARY 1. For each of the following problems indicate whether its solution requires a qualitative, quantitative, characterization, or fundamental study. More than one type of analysis may be appropriate for some problems. a. A hazardous-waste disposal site is believed to be leaking contaminants into the local groundwater. b. An art museum is concerned that a recent acquisition is a forgery. c. A more reliable method is needed by airport security for detecting the presence of explosive materials in luggage. d. The structure of a newly discovered virus needs to be determined. e. A new visual indicator is needed for an acid–base titration. f. A new law requires a method for evaluating whether automobiles are emitting too much carbon monoxide. 2. Read a recent article from the column “Analytical Approach,” published in Analytical Chemistry, or an article assigned by your instructor, and write an essay summarizing the nature of the problem and how it was solved. As a guide, refer back to Figure 1.3 for one model of the analytical approach. 1F PROBLEMS 1400-CH01 9/9/99 2:20 PM Page 9
  • 27. 10 Modern Analytical Chemistry The role of analytical chemistry within the broader discipline of chemistry has been discussed by many prominent analytical chemists. Several notable examples follow. Baiulescu, G. E.; Patroescu, C.; Chalmers, R. A. Education and Teaching in Analytical Chemistry. Ellis Horwood: Chichester, 1982. Hieftje, G. M. “The Two Sides of Analytical Chemistry,” Anal. Chem. 1985, 57, 256A–267A. Kissinger, P. T. “Analytical Chemistry—What is It? Who Needs It? Why Teach It?” Trends Anal. Chem. 1992, 11, 54–57. Laitinen, H. A. “Analytical Chemistry in a Changing World,” Anal. Chem. 1980, 52, 605A–609A. Laitinen, H. A. “History of Analytical Chemistry in the U.S.A.,” Talanta 1989, 36, 1–9. Laitinen, H. A.; Ewing, G. (eds). A History of Analytical Chemistry. The Division of Analytical Chemistry of the American Chemical Society: Washington, D.C., 1972. McLafferty, F. W. “Analytical Chemistry: Historic and Modern,” Acc. Chem. Res. 1990, 23, 63–64. Mottola, H. A. “The Interdisciplinary and Multidisciplinary Nature of Contemporary Analytical Chemistry and Its Core Components,” Anal. Chim. Acta 1991, 242, 1–3. Tyson, J. Analysis: What Analytical Chemists Do. Royal Society of Chemistry: Cambridge, England, 1988. Several journals are dedicated to publishing broadly in the field of analytical chemistry, including Analytical Chemistry, Analytica Chimica Acta, Analyst, and Talanta. Other journals, too numerous to list, are dedicated to single areas of analytical chemistry. Current research in the areas of quantitative analysis, qualitative analysis, and characterization analysis are reviewed biannually (odd-numbered years) in Analytical Chemistry’s “Application Reviews.” Current research on fundamental developments in analytical chemistry are reviewed biannually (even-numbered years) in Analytical Chemistry’s “Fundamental Reviews.” 1G SUGGESTED READINGS 1. Ravey, M. Spectroscopy 1990, 5(7), 11. 2. de Haseth, J. Spectroscopy 1990, 5(7), 11. 3. Fresenius, C. R. A System of Instruction in Quantitative Chemical Analysis. John Wiley and Sons: New York, 1881. 4. Hillebrand, W. F.; Lundell, G. E. F. Applied Inorganic Analysis, John Wiley and Sons: New York, 1953. 5. Van Loon, J. C. Analytical Atomic Absorption Spectroscopy. Academic Press: New York, 1980. 6. Murray, R. W. Anal. Chem. 1991, 63, 271A. 7. For several different viewpoints see (a) Beilby, A. L. J. Chem. Educ. 1970, 47, 237–238; (b) Lucchesi, C. A. Am. Lab. 1980, October, 113–119; (c) Atkinson, G. F. J. Chem. Educ. 1982, 59, 201–202; (d) Pardue, H. L.; Woo, J. J. Chem. Educ. 1984, 61, 409–412; (e) Guarnieri, M. J. Chem. Educ. 1988, 65, 201–203; (f) de Haseth, J. Spectroscopy 1990, 5, 20–21; (g) Strobel, H. A. Am. Lab. 1990, October, 17–24. 8. Hieftje, G. M. Am. Lab. 1993, October, 53–61. 9. See, for example, the following laboratory texts: (a) Sorum, C. H.; Lagowski, J. J. Introduction to Semimicro Qualitative Analysis, 5th ed. Prentice-Hall: Englewood Cliffs, NJ, 1977.; (b) Shriner, R. L.; Fuson, R. C.; Curtin, D. Y. The Systematic Identification of Organic Compounds, 5th ed. John Wiley and Sons: New York, 1964. 1H REFERENCES 1400-CH01 9/9/99 2:20 PM Page 10
  • 28. CChhaapptteerr 2 11 Basic Tools of Analytical Chemistry In the chapters that follow we will learn about the specifics of analytical chemistry. In the process we will ask and answer questions such as “How do we treat experimental data?” “How do we ensure that our results are accurate?” “How do we obtain a representative sample?” and “How do we select an appropriate analytical technique?” Before we look more closely at these and other questions, we will first review some basic numerical and experimental tools of importance to analytical chemists. 1400-CH02 9/8/99 3:47 PM Page 11
  • 29. 12 Modern Analytical Chemistry 2A Numbers in Analytical Chemistry Analytical chemistry is inherently a quantitative science. Whether determining the concentration of a species in a solution, evaluating an equilibrium constant, mea- suring a reaction rate, or drawing a correlation between a compound’s structure and its reactivity, analytical chemists make measurements and perform calculations. In this section we briefly review several important topics involving the use of num- bers in analytical chemistry. 2A.1 Fundamental Units of Measure Imagine that you find the following instructions in a laboratory procedure: “Trans- fer 1.5 of your sample to a 100 volumetric flask, and dilute to volume.” How do you do this? Clearly these instructions are incomplete since the units of measurement are not stated. Compare this with a complete instruction: “Transfer 1.5 g of your sample to a 100-mL volumetric flask, and dilute to volume.” This is an instruction that you can easily follow. Measurements usually consist of a unit and a number expressing the quantity of that unit. Unfortunately, many different units may be used to express the same physical measurement. For example, the mass of a sample weighing 1.5 g also may be expressed as 0.0033 lb or 0.053 oz. For consistency, and to avoid confusion, sci- entists use a common set of fundamental units, several of which are listed in Table 2.1. These units are called SI units after the Système International d’Unités. Other measurements are defined using these fundamental SI units. For example, we mea- sure the quantity of heat produced during a chemical reaction in joules, (J), where Table 2.2 provides a list of other important derived SI units, as well as a few com- monly used non-SI units. Chemists frequently work with measurements that are very large or very small. A mole, for example, contains 602,213,670,000,000,000,000,000 particles, and some analytical techniques can detect as little as 0.000000000000001 g of a compound. For simplicity, we express these measurements using scientific notation; thus, a mole contains 6.0221367 × 1023 particles, and the stated mass is 1 × 10–15 g. Some- times it is preferable to express measurements without the exponential term, replac- ing it with a prefix. A mass of 1 × 10–15 g is the same as 1 femtogram. Table 2.3 lists other common prefixes. 1 J = 1 m kg2 s2 Table 2.1 Fundamental SI Units Measurement Unit Symbol mass kilogram kg volume liter L distance meter m temperature kelvin K time second s current ampere A amount of substance mole mol scientific notation A shorthand method for expressing very large or very small numbers by indicating powers of ten; for example, 1000 is 1 × 103. SI units Stands for Système International d’Unités. These are the internationally agreed on units for measurements. 1400-CH02 9/8/99 3:47 PM Page 12
  • 30. 2A.2 Significant Figures Recording a measurement provides information about both its magnitude and un- certainty. For example, if we weigh a sample on a balance and record its mass as 1.2637 g, we assume that all digits, except the last, are known exactly. We assume that the last digit has an uncertainty of at least ±1, giving an absolute uncertainty of at least ±0.0001 g, or a relative uncertainty of at least Significant figures are a reflection of a measurement’s uncertainty. The num- ber of significant figures is equal to the number of digits in the measurement, with the exception that a zero (0) used to fix the location of a decimal point is not con- sidered significant. This definition can be ambiguous. For example, how many sig- nificant figures are in the number 100? If measured to the nearest hundred, then there is one significant figure. If measured to the nearest ten, however, then two ± × = ± 0 0001 1 2637 100 0 0079 . . . % g g Chapter 2 Basic Tools of Analytical Chemistry 13 Table 2.2 Other SI and Non-SI Units Measurement Unit Symbol Equivalent SI units length angstrom Å 1 Å = 1 × 10–10 m force newton N 1 N = 1 m ⋅kg/s2 pressure pascal Pa 1 Pa = 1 N/m2 = 1 kg/(m ⋅s2) atmosphere atm 1 atm = 101,325 Pa energy, work, heat joule J 1 J = 1 N ⋅m = 1 m2 ⋅kg/s2 power watt W 1 W = 1 J/s = 1 m2 ⋅kg/s3 charge coulomb C 1 C = 1 A ⋅s potential volt V 1 V = 1 W/A = 1 m2 ⋅kg/(s3 ⋅A) temperature degree Celsius °C °C = K – 273.15 degree Fahrenheit °F °F = 1.8(K – 273.15) + 32 Table 2.3 Common Prefixes for Exponential Notation Exponential Prefix Symbol 1012 tera T 109 giga G 106 mega M 103 kilo k 10–1 deci d 10–2 centi c 10–3 milli m 10–6 micro µ 10–9 nano n 10–12 pico p 10–15 femto f 10–18 atto a significant figures The digits in a measured quantity, including all digits known exactly and one digit (the last) whose quantity is uncertain. 1400-CH02 9/8/99 3:47 PM Page 13
  • 31. significant figures are included. To avoid ambiguity we use scientific notation. Thus, 1 × 102 has one significant figure, whereas 1.0 × 102 has two significant figures. For measurements using logarithms, such as pH, the number of significant figures is equal to the number of digits to the right of the decimal, including all zeros. Digits to the left of the decimal are not included as significant figures since they only indicate the power of 10. A pH of 2.45, therefore, contains two signifi- cant figures. Exact numbers, such as the stoichiometric coefficients in a chemical formula or reaction, and unit conversion factors, have an infinite number of significant figures. A mole of CaCl2, for example, contains exactly two moles of chloride and one mole of calcium. In the equality 1000 mL = 1 L both numbers have an infinite number of significant figures. Recording a measurement to the correct number of significant figures is im- portant because it tells others about how precisely you made your measurement. For example, suppose you weigh an object on a balance capable of measuring mass to the nearest ±0.1 mg, but record its mass as 1.762 g instead of 1.7620 g. By failing to record the trailing zero, which is a significant figure, you suggest to others that the mass was determined using a balance capable of weighing to only the nearest ±1 mg. Similarly, a buret with scale markings every 0.1 mL can be read to the nearest ±0.01 mL. The digit in the hundredth’s place is the least sig- nificant figure since we must estimate its value. Reporting a volume of 12.241 mL implies that your buret’s scale is more precise than it actually is, with divi- sions every 0.01 mL. Significant figures are also important because they guide us in reporting the re- sult of an analysis. When using a measurement in a calculation, the result of that calculation can never be more certain than that measurement’s uncertainty. Simply put, the result of an analysis can never be more certain than the least certain mea- surement included in the analysis. As a general rule, mathematical operations involving addition and subtraction are carried out to the last digit that is significant for all numbers included in the cal- culation. Thus, the sum of 135.621, 0.33, and 21.2163 is 157.17 since the last digit that is significant for all three numbers is in the hundredth’s place. 135.621 + 0.33 + 21.2163 = 157.1673 = 157.17 When multiplying and dividing, the general rule is that the answer contains the same number of significant figures as that number in the calculation having the fewest significant figures. Thus, It is important to remember, however, that these rules are generalizations. What is conserved is not the number of significant figures, but absolute uncertainty when adding or subtracting, and relative uncertainty when multiplying or dividing. For example, the following calculation reports the answer to the correct number of significant figures, even though it violates the general rules outlined earlier. 101 99 1 02= . 22 91 0152 16 302 0 21361 0 214 . . . . . × = = 14 Modern Analytical Chemistry 1400-CH02 9/8/99 3:48 PM Page 14
  • 32. Chapter 2 Basic Tools of Analytical Chemistry 15 Since the relative uncertainty in both measurements is roughly 1% (101 ±1, 99 ±1), the relative uncertainty in the final answer also must be roughly 1%. Reporting the answer to only two significant figures (1.0), as required by the general rules, implies a relative uncertainty of 10%. The correct answer, with three significant figures, yields the expected relative uncertainty. Chapter 4 presents a more thorough treat- ment of uncertainty and its importance in reporting the results of an analysis. Finally, to avoid “round-off” errors in calculations, it is a good idea to retain at least one extra significant figure throughout the calculation. This is the practice adopted in this textbook. Better yet, invest in a good scientific calculator that allows you to perform lengthy calculations without recording intermediate values. When the calculation is complete, the final answer can be rounded to the correct number of significant figures using the following simple rules. 1. Retain the least significant figure if it and the digits that follow are less than halfway to the next higher digit; thus, rounding 12.442 to the nearest tenth gives 12.4 since 0.442 is less than halfway between 0.400 and 0.500. 2. Increase the least significant figure by 1 if it and the digits that follow are more than halfway to the next higher digit; thus, rounding 12.476 to the nearest tenth gives 12.5 since 0.476 is more than halfway between 0.400 and 0.500. 3. If the least significant figure and the digits that follow are exactly halfway to the next higher digit, then round the least significant figure to the nearest even number; thus, rounding 12.450 to the nearest tenth gives 12.4, but rounding 12.550 to the nearest tenth gives 12.6. Rounding in this manner prevents us from introducing a bias by always rounding up or down. 2B Units for Expressing Concentration Concentration is a general measurement unit stating the amount of solute present in a known amount of solution 2.1 Although the terms “solute” and “solution” are often associated with liquid sam- ples, they can be extended to gas-phase and solid-phase samples as well. The actual units for reporting concentration depend on how the amounts of solute and solu- tion are measured. Table 2.4 lists the most common units of concentration. 2B.1 Molarity and Formality Both molarity and formality express concentration as moles of solute per liter of solu- tion. There is, however, a subtle difference between molarity and formality. Molarity is the concentration of a particular chemical species in solution. Formality, on the other hand, is a substance’s total concentration in solution without regard to its spe- cific chemical form. There is no difference between a substance’s molarity and for- mality if it dissolves without dissociating into ions. The molar concentration of a so- lution of glucose, for example, is the same as its formality. For substances that ionize in solution, such as NaCl, molarity and formality are different. For example, dissolving 0.1 mol of NaCl in 1 L of water gives a solution containing 0.1 mol of Na+ and 0.1 mol of Cl–. The molarity of NaCl, therefore, is zero since there is essentially no undissociated NaCl in solution. The solution, Concentration amount of solute amount of solution = molarity The number of moles of solute per liter of solution (M). formality The number of moles of solute, regardless of chemical form, per liter of solution (F). concentration An expression stating the relative amount of solute per unit volume or unit mass of solution. 1400-CH02 9/8/99 3:48 PM Page 15
  • 33. instead, is 0.1 M in Na+ and 0.1 M in Cl–. The formality of NaCl, however, is 0.1 F because it represents the total amount of NaCl in solution. The rigorous definition of molarity, for better or worse, is largely ignored in the current literature, as it is in this text. When we state that a solution is 0.1 M NaCl we understand it to consist of Na+ and Cl– ions. The unit of formality is used only when it provides a clearer de- scription of solution chemistry. Molar concentrations are used so frequently that a symbolic notation is often used to simplify its expression in equations and writing. The use of square brackets around a species indicates that we are referring to that species’ molar concentration. Thus, [Na+] is read as the “molar concentration of sodium ions.” 2B.2 Normality Normality is an older unit of concentration that, although once commonly used, is frequently ignored in today’s laboratories. Normality is still used in some hand- books of analytical methods, and, for this reason, it is helpful to understand its meaning. For example, normality is the concentration unit used in Standard Meth- ods for the Examination of Water and Wastewater,1 a commonly used source of ana- lytical methods for environmental laboratories. Normality makes use of the chemical equivalent, which is the amount of one chemical species reacting stoichiometrically with another chemical species. Note that this definition makes an equivalent, and thus normality, a function of the chemical reaction in which the species participates. Although a solution of H2SO4 has a fixed molarity, its normality depends on how it reacts. 16 Modern Analytical Chemistry Table 2.4 Common Units for Reporting Concentration Name Unitsa Symbol molarity M formality F normality N molality m weight % % w/w volume % % v/v weight-to-volume % % w/v parts per million ppm parts per billion ppb aFW = formula weight; EW = equivalent weight. moles solute liters solution number F solute liters solution Ws number E solute liters solution Ws m solute k solvent oles g g solute solutiong100 m solute solution L mL100 g solute solutionmL100 g solute solutiong106 g solute g solution109 normality The number of equivalents of solute per liter of solution (N). 1400-CH02 9/8/99 3:48 PM Page 16
  • 34. The number of equivalents, n, is based on a reaction unit, which is that part of a chemical species involved in a reaction. In a precipitation reaction, for example, the reaction unit is the charge of the cation or anion involved in the reaction; thus for the reaction Pb2+(aq) + 2I–(aq) tPbI2(s) n = 2 for Pb2+ and n = 1 for I–. In an acid–base reaction, the reaction unit is the number of H+ ions donated by an acid or accepted by a base. For the reaction be- tween sulfuric acid and ammonia H2SO4(aq) + 2NH3(aq) t 2NH4 +(aq) + SO4 2–(aq) we find that n = 2 for H2SO4 and n = 1 for NH3. For a complexation reaction, the reaction unit is the number of electron pairs that can be accepted by the metal or donated by the ligand. In the reaction between Ag+ and NH3 Ag+(aq) + 2NH3(aq) t Ag(NH3)2 +(aq) the value of n for Ag+ is 2 and that for NH3 is 1. Finally, in an oxidation–reduction reaction the reaction unit is the number of electrons released by the reducing agent or accepted by the oxidizing agent; thus, for the reaction 2Fe3+(aq) + Sn2+(aq) t Sn4+(aq) + 2Fe2+(aq) n = 1 for Fe3+ and n = 2 for Sn2+. Clearly, determining the number of equivalents for a chemical species requires an understanding of how it reacts. Normality is the number of equivalent weights (EW) per unit volume and, like formality, is independent of speciation. An equivalent weight is defined as the ratio of a chemical species’ formula weight (FW) to the number of its equivalents Consequently, the following simple relationship exists between normality and molarity. N = n × M Example 2.1 illustrates the relationship among chemical reactivity, equivalent weight, and normality. EXAMPLE 2.1 Calculate the equivalent weight and normality for a solution of 6.0 M H3PO4 given the following reactions: (a) H3PO4(aq) + 3OH–(aq) t PO4 3–(aq) + 3H2O(l) (b) H3PO4(aq) + 2NH3(aq) t HPO4 2–(aq) + 2NH4 +(aq) (c) H3PO4(aq) + F–(aq) t H2PO4 –(aq) + HF(aq) SOLUTION For phosphoric acid, the number of equivalents is the number of H+ ions donated to the base. For the reactions in (a), (b), and (c) the number of equivalents are 3, 2, and 1, respectively. Thus, the calculated equivalent weights and normalities are EW = FW n Chapter 2 Basic Tools of Analytical Chemistry 17 equivalent The moles of a species that can donate one reaction unit. equivalent weight The mass of a compound containing one equivalent (EW). formula weight The mass of a compound containing one mole (FW). 1400-CH02 9/8/99 3:48 PM Page 17
  • 35. 18 Modern Analytical Chemistry 2B.3 Molality Molality is used in thermodynamic calculations where a temperature independent unit of concentration is needed. Molarity, formality and normality are based on the volume of solution in which the solute is dissolved. Since density is a temperature de- pendent property a solution’s volume, and thus its molar, formal and normal concen- trations, will change as a function of its temperature. By using the solvent’s mass in place of its volume, the resulting concentration becomes independent of temperature. 2B.4 Weight, Volume, and Weight-to-Volume Ratios Weight percent (% w/w), volume percent (% v/v) and weight-to-volume percent (% w/v) express concentration as units of solute per 100 units of sample. A solution in which a solute has a concentration of 23% w/v contains 23 g of solute per 100 mL of solution. Parts per million (ppm) and parts per billion (ppb) are mass ratios of grams of solute to one million or one billion grams of sample, respectively. For example, a steel that is 450 ppm in Mn contains 450 µg of Mn for every gram of steel. If we approxi- mate the density of an aqueous solution as 1.00 g/mL, then solution concentrations can be expressed in parts per million or parts per billion using the following relationships. For gases a part per million usually is a volume ratio. Thus, a helium concentration of 6.3 ppm means that one liter of air contains 6.3 µL of He. 2B.5 Converting Between Concentration Units The units of concentration most frequently encountered in analytical chemistry are molarity, weight percent, volume percent, weight-to-volume percent, parts per mil- lion, and parts per billion. By recognizing the general definition of concentration given in equation 2.1, it is easy to convert between concentration units. EXAMPLE 2.2 A concentrated solution of aqueous ammonia is 28.0% w/w NH3 and has a density of 0.899 g/mL. What is the molar concentration of NH3 in this solution? SOLUTION 28 0 100 0 899 1 17 04 1000 14 83 3 3 . . . . L g NH g solution g solution m solution mole NH g NH mL liter M× × × = ppm = mg liter ppb = g liter = = µ µ g mL ng mL (a) EW = FW = 97.994 3 = 32.665 N = M = 3 6.0 = 18 N (b) EW = FW = 97.994 2 = 48.997 N = M = 2 6.0 = 12 N (c) EW = = 97.994 1 = 97.994 N = M = 1 6.0 = 6.0 N n n n n n n × × × × × × FW molality The number of moles of solute per kilogram of solvent (m). weight percent Grams of solute per 100 g of solution. (% w/w). volume percent Milliliters of solute per 100 mL of solution (% v/v). weight-to-volume percent Grams of solute per 100 mL of solution (% w/v). parts per million Micrograms of solute per gram of solution; for aqueous solutions the units are often expressed as milligrams of solute per liter of solution (ppm). parts per billion Nanograms of solute per gram of solution; for aqueous solutions the units are often expressed as micrograms of solute per liter of solution (ppb). 1400-CH02 9/8/99 3:48 PM Page 18