QSRR Study of GC Retention Indices of Volatile Compounds Emitted from Mosla chinensis Maxim by Multiple Linear Regression (Q104935540)

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scientific article published on 25 October 2011

Language	Label	Description	Also known as
English	QSRR Study of GC Retention Indices of Volatile Compounds Emitted from Mosla chinensis Maxim by Multiple Linear Regression	scientific article published on 25 October 2011

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scholarly article

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QSRR Study of GC Retention Indices of Volatile Compounds Emitted from Mosla chinensis Maxim by Multiple Linear Regression (English)

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http://api.crossref.org/works/10.1002%2Fcjoc.201180379

Mosla chinensis

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(6S)-2-ethenylbicyclo[4.2.0]oct-1-ene

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(+)-alpha-thujene

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isobornyl formate

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(3Z)-β-ocimene

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Butylpentyl ether

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(6E)-β-farnesene

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(3E)-β-ocimene

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(+)-γ-cadinene

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Phenol, 3,4-diethyl-

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(-)-beta-pinene

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n-butyl methacrylate

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3,7-dimethylocta-2,6-dien-1-ol

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(+)-α-phellandrene

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cis-(+/-)-4-thujanol

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(S)-β-himachalene

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1,3,5,7-Octatetraene, 2,6-dimethyl-

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(+)-4-terpineol

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1,1-Dibutoxybutane

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(-)-1-octen-3-ol

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butyl isobutyrate

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(+)-cis-isopulegone

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isobutyl butyrate

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5-[(1S,5S,6R)-2,6-dimethyl-6-bicyclo[3.1.1]hept-2-enyl]-2-methylpent-2-en-1-ol

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1,1-Dibutoxyethane

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2-methoxy-6-(prop-2-en-1-yl)phenol

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isobutyl isobutyrate

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Butane, 1,1'-[(2-methylpropylidene)bis(oxy)]bis-

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(1S,4S,5S)-4-methyl-1-propan-2-ylbicyclo[3.1.0]hex-2-ene

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linear regression

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based on heuristic

inferred from title

author name string

Hui Cao

1

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http://api.crossref.org/works/10.1002%2Fcjoc.201180379

Zuguang Li

2

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http://api.crossref.org/works/10.1002%2Fcjoc.201180379

Xiaozhen Chen

3

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http://api.crossref.org/works/10.1002%2Fcjoc.201180379

publication date

October 2011

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16 September 2022

Chinese Journal of Chemistry

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http://api.crossref.org/works/10.1002%2Fcjoc.201180379

29

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10

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http://api.crossref.org/works/10.1002%2Fcjoc.201180379

2187-2196

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http://api.crossref.org/works/10.1002%2Fcjoc.201180379

Solid phase microextraction with thermal desorption using fused silica optical fibers

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7 January 2021

based on heuristic

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Solid-phase microextraction: a promising technique for sample preparation in environmental analysis.

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7 January 2021

based on heuristic

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Solid-phase microextraction: a powerful sample preparation tool prior to mass spectrometric analysis

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7 January 2021

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Headspace single-drop microextration for the detection of organotin compounds

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Headspace solvent microextraction

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Headspace liquid-phase microextraction of chlorobenzenes in soil with gas chromatography-electron capture detection.

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7 January 2021

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Analytical characteristics of the determination of benzene, toluene, ethylbenzene and xylenes in water by headspace solvent microextraction

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Analysis of benzene ethylamine derivatives in urine using the programmable dynamic liquid-phase microextraction (LPME) device

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Headspace liquid-phase microextraction using ionic liquid as extractant for the preconcentration of dichlorodiphenyltrichloroethane and its metabolites at trace levels in water samples

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Development of microwave-assisted extraction followed by headspace single-drop microextraction for fast determination of paeonol in traditional Chinese medicines

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Rapid Analysis of the Volatile Compounds in the Rhizomes ofRhodiola sachalinensisandRhodiola sacraby Static Headspace‐Gas Chromatography–Tandem Mass Spectrometry

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7 January 2021

based on heuristic

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Quantitative structure-(chromatographic) retention relationships

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7 January 2021

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Review on modelling aspects in reversed-phase liquid chromatographic quantitative structure-retention relationships

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7 January 2021

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Three-dimensional topographic index applied to the prediction of acyclic C5-C8 alkenes Kováts retention indices on polydimethylsiloxane and squalane columns

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Prediction of gas chromatography/electron capture detector retention times of chlorinated pesticides, herbicides, and organohalides by multivariate chemometrics methods

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7 January 2021

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QSPR study of GC retention indices for saturated esters on seven stationary phases based on novel topological indices

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The predicting study for chromatographic retention index of saturated alcohols by MLR and ANN.

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An accurate QSRR model for the prediction of the GCxGC-TOFMS retention time of polychlorinated biphenyl (PCB) congeners.

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Quantitative structure-retention relationship studies with immobilized artificial membrane chromatography II: partial least squares regression

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Prediction of retention time of a variety of volatile organic compounds based on the heuristic method and support vector machine

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Prediction of the retention in thin layer chromatography screening systems by atomic contributions

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QSRR prediction of the chromatographic retention behavior of painkiller drugs

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Quantitative structure-retention relationships with model analytes as a means of an objective evaluation of chromatographic columns

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Identifiers

10.1002/CJOC.201180379

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