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Trends in Flow-based Biosensing Systems for Pesticide Assessment

This review gives a survey on the state of the art of pesticide detection using flow-based biosensing systems for sample screening. Although immunosensor systems have been proposed as powerful pesticide monitoring tools, this review is mainly focused on enzyme-based biosensors, as they are the most...

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Autores principales: Prieto-Simón, Beatriz, Campàs, Mònica, Andreescu, Silvana, Marty, Jean-Louis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2006
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3909390/
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author Prieto-Simón, Beatriz
Campàs, Mònica
Andreescu, Silvana
Marty, Jean-Louis
author_facet Prieto-Simón, Beatriz
Campàs, Mònica
Andreescu, Silvana
Marty, Jean-Louis
author_sort Prieto-Simón, Beatriz
collection PubMed
description This review gives a survey on the state of the art of pesticide detection using flow-based biosensing systems for sample screening. Although immunosensor systems have been proposed as powerful pesticide monitoring tools, this review is mainly focused on enzyme-based biosensors, as they are the most commonly employed when using a flow system. Among the different detection methods able to be integrated into flow-injection analysis (FIA) systems, the electrochemical ones will be treated in more detail, due to their high sensitivity, simple sample pretreatment, easy operational procedures and real-time detection. During the last decade, new trends have been emerging in order to increase the enzyme stability, the sensitivity and selectivity of the measurements, and to lower the detection limits. These approaches are based on (i) the design of novel matrices for enzyme immobilisation, (ii) new manifold configurations of the FIA system, sometimes including miniaturisation or lab-on-chip protocols thanks to micromachining technology, (iii) the use of cholinesterase enzymes either from various commercial sources or genetically modified with the aim of being more sensitive, (iv) the incorporation of other highly specific enzymes, such as organophosphate hydrolase (OPH) or parathion hydrolase (PH) and (v) the combination of different electrochemical methods of detection. This article discusses these novel strategies and their advantages and limitations.
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spelling pubmed-39093902014-02-03 Trends in Flow-based Biosensing Systems for Pesticide Assessment Prieto-Simón, Beatriz Campàs, Mònica Andreescu, Silvana Marty, Jean-Louis Sensors (Basel) Review This review gives a survey on the state of the art of pesticide detection using flow-based biosensing systems for sample screening. Although immunosensor systems have been proposed as powerful pesticide monitoring tools, this review is mainly focused on enzyme-based biosensors, as they are the most commonly employed when using a flow system. Among the different detection methods able to be integrated into flow-injection analysis (FIA) systems, the electrochemical ones will be treated in more detail, due to their high sensitivity, simple sample pretreatment, easy operational procedures and real-time detection. During the last decade, new trends have been emerging in order to increase the enzyme stability, the sensitivity and selectivity of the measurements, and to lower the detection limits. These approaches are based on (i) the design of novel matrices for enzyme immobilisation, (ii) new manifold configurations of the FIA system, sometimes including miniaturisation or lab-on-chip protocols thanks to micromachining technology, (iii) the use of cholinesterase enzymes either from various commercial sources or genetically modified with the aim of being more sensitive, (iv) the incorporation of other highly specific enzymes, such as organophosphate hydrolase (OPH) or parathion hydrolase (PH) and (v) the combination of different electrochemical methods of detection. This article discusses these novel strategies and their advantages and limitations. Molecular Diversity Preservation International (MDPI) 2006-10-01 /pmc/articles/PMC3909390/ Text en © 2006 by MDPI (http://www.mdpi.org). Reproduction is permitted for noncommercial purposes.
spellingShingle Review
Prieto-Simón, Beatriz
Campàs, Mònica
Andreescu, Silvana
Marty, Jean-Louis
Trends in Flow-based Biosensing Systems for Pesticide Assessment
title Trends in Flow-based Biosensing Systems for Pesticide Assessment
title_full Trends in Flow-based Biosensing Systems for Pesticide Assessment
title_fullStr Trends in Flow-based Biosensing Systems for Pesticide Assessment
title_full_unstemmed Trends in Flow-based Biosensing Systems for Pesticide Assessment
title_short Trends in Flow-based Biosensing Systems for Pesticide Assessment
title_sort trends in flow-based biosensing systems for pesticide assessment
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3909390/
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