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The Art of Miniaturized Biosensing Systems, from the Laboratory to the Field

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biosensors".

Deadline for manuscript submissions: 1 March 2025 | Viewed by 4623

Special Issue Editor


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Guest Editor
U MR CNRS 6144 GEPEA, CBAC Laboratory, 18 Boulevard Gaston Defferre, 85035 La Roche sur Yon, France
Interests: microbial biosensor; cell biosensor; Raman spectroscopy; microbiology; bioassay; toxicity; bioreporter; bioluminescence; biodegradation
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Special Issue Information

Dear Colleagues,

After decades of biosensor development, where are the applications? What is the state of research in laboratories? What are the limits or barriers to overcome?

Sensors offers a Special Issue dedicated to these topics that drive us all, that is to say, the ability of laboratory studies to be transferred to industry to meet real needs.

The expected articles can cover all aspects of biosensors (affinity, enzyme, cell, data processing, sampling by drones, etc.), but also economic and strategic studies that can help scientific communities to better orient their research or respond to major societal challenges. All applications are also expected (food, health, environment, space, etc.).

Prof. Dr. Gérald Thouand
Guest Editor

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Keywords

  • biosensor
  • biosensing
  • systems
  • cell biosensor
  • enzymatic biosensor
  • affinity
  • detection
  • monitoring
  • food
  • health
  • environment
  • space

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Published Papers (2 papers)

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Research

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16 pages, 6066 KiB  
Article
Development and Application of an Automated Raman Sensor for Bioprocess Monitoring: From the Laboratory to an Algae Production Platform
by Wiviane Wieser, Antony Ali Assaf, Benjamin Le Gouic, Emmanuel Dechandol, Laura Herve, Thomas Louineau, Omar Hussein Dib, Olivier Gonçalves, Mariana Titica, Aurélie Couzinet-Mossion, Gaetane Wielgosz-Collin, Marine Bittel and Gerald Thouand
Sensors 2023, 23(24), 9746; https://doi.org/10.3390/s23249746 - 11 Dec 2023
Cited by 3 | Viewed by 1627
Abstract
Microalgae provide valuable bio-components with economic and environmental benefits. The monitoring of microalgal production is mostly performed using different sensors and analytical methods that, although very powerful, are limited to qualified users. This study proposes an automated Raman spectroscopy-based sensor for the online [...] Read more.
Microalgae provide valuable bio-components with economic and environmental benefits. The monitoring of microalgal production is mostly performed using different sensors and analytical methods that, although very powerful, are limited to qualified users. This study proposes an automated Raman spectroscopy-based sensor for the online monitoring of microalgal production. For this purpose, an in situ system with a sampling station was made of a light-tight optical chamber connected to a Raman probe. Microalgal cultures were routed to this chamber by pipes connected to pumps and valves controlled and programmed by a computer. The developed approach was evaluated on Parachlorella kessleri under different culture conditions at a laboratory and an industrial algal platform. As a result, more than 4000 Raman spectra were generated and analysed by statistical methods. These spectra reflected the physiological state of the cells and demonstrate the ability of the developed sensor to monitor the physiology of microalgal cells and their intracellular molecules of interest in a complex production environment. Full article
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Review

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27 pages, 5684 KiB  
Review
Emerging Microfluidic Tools for Simultaneous Exosomes and Cargo Biosensing in Liquid Biopsy: New Integrated Miniaturized FFF-Assisted Approach for Colon Cancer Diagnosis
by Valentina Marassi, Stefano Giordani, Anna Placci, Angela Punzo, Cristiana Caliceti, Andrea Zattoni, Pierluigi Reschiglian, Barbara Roda and Aldo Roda
Sensors 2023, 23(23), 9432; https://doi.org/10.3390/s23239432 - 27 Nov 2023
Cited by 3 | Viewed by 2207
Abstract
The early-stage diagnosis of cancer is a crucial clinical need. The inadequacies of surgery tissue biopsy have prompted a transition to a less invasive profiling of molecular biomarkers from biofluids, known as liquid biopsy. Exosomes are phospholipid bilayer vesicles present in many biofluids [...] Read more.
The early-stage diagnosis of cancer is a crucial clinical need. The inadequacies of surgery tissue biopsy have prompted a transition to a less invasive profiling of molecular biomarkers from biofluids, known as liquid biopsy. Exosomes are phospholipid bilayer vesicles present in many biofluids with a biologically active cargo, being responsible for cell-to-cell communication in biological systems. An increase in their excretion and changes in their cargo are potential diagnostic biomarkers for an array of diseases, including cancer, and they constitute a promising analyte for liquid biopsy. The number of exosomes released, the morphological properties, the membrane composition, and their content are highly related to the physiological and pathological states. The main analytical challenge to establishing liquid biopsy in clinical practice is the development of biosensors able to detect intact exosomes concentration and simultaneously analyze specific membrane biomarkers and those contained in their cargo. Before analysis, exosomes also need to be isolated from biological fluids. Microfluidic systems can address several issues present in conventional methods (i.e., ultracentrifugation, size-exclusion chromatography, ultrafiltration, and immunoaffinity capture), which are time-consuming and require a relatively high amount of sample; in addition, they can be easily integrated with biosensing systems. A critical review of emerging microfluidic-based devices for integrated biosensing approaches and following the major analytical need for accurate diagnostics is presented here. The design of a new miniaturized biosensing system is also reported. A device based on hollow-fiber flow field-flow fractionation followed by luminescence-based immunoassay is applied to isolate intact exosomes and characterize their cargo as a proof of concept for colon cancer diagnosis. Full article
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