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Chitosan-Based Nanocomposites for Glyphosate Detection Using Surface Plasmon Resonance Sensor

This article describes an optical method based on the association of surface plasmon resonance (SPR) with chitosan (CS) film and its nanocomposites, including zinc oxide (ZnO) or graphene oxide (GO) for glyphosate detection. CS and CS/ZnO or CS/GO thin films were deposited on an Au chip using the sp...

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Autores principales: Do, Minh Huy, Dubreuil, Brigitte, Peydecastaing, Jérôme, Vaca-Medina, Guadalupe, Nhu-Trang, Tran-Thi, Jaffrezic-Renault, Nicole, Behra, Philippe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7589946/
https://www.ncbi.nlm.nih.gov/pubmed/33096666
http://dx.doi.org/10.3390/s20205942
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author Do, Minh Huy
Dubreuil, Brigitte
Peydecastaing, Jérôme
Vaca-Medina, Guadalupe
Nhu-Trang, Tran-Thi
Jaffrezic-Renault, Nicole
Behra, Philippe
author_facet Do, Minh Huy
Dubreuil, Brigitte
Peydecastaing, Jérôme
Vaca-Medina, Guadalupe
Nhu-Trang, Tran-Thi
Jaffrezic-Renault, Nicole
Behra, Philippe
author_sort Do, Minh Huy
collection PubMed
description This article describes an optical method based on the association of surface plasmon resonance (SPR) with chitosan (CS) film and its nanocomposites, including zinc oxide (ZnO) or graphene oxide (GO) for glyphosate detection. CS and CS/ZnO or CS/GO thin films were deposited on an Au chip using the spin coating technique. The characterization, morphology, and composition of these films were performed by Fourier-transform infrared spectroscopy (FTIR), atomic force microscopy (AFM), and contact angle technique. Sensor preparation conditions including the cross-linking and mobile phase (pH and salinity) were investigated and thoroughly optimized. Results showed that the CS/ZnO thin-film composite provides the highest sensitivity for glyphosate sensing with a low detection limit of 8 nM and with high reproducibility. From the Langmuir-type adsorption model and the effect of ionic strength, the adsorption mechanisms of glyphosate could be controlled by electrostatic and steric interaction with possible formation of 1:1 outer-sphere surface complexes. The selectivity of the optical method was investigated with respect to the sorption of glyphosate metabolite (aminomethylphosphonic acid) (AMPA), glufosinate, and one of the glufonisate metabolites (3-methyl-phosphinico-propionic acid) (MPPA). Results showed that the SPR sensor offers a very good selectivity for glyphosate, but the competition of other molecules could still occur in aqueous systems.
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spelling pubmed-75899462020-10-29 Chitosan-Based Nanocomposites for Glyphosate Detection Using Surface Plasmon Resonance Sensor Do, Minh Huy Dubreuil, Brigitte Peydecastaing, Jérôme Vaca-Medina, Guadalupe Nhu-Trang, Tran-Thi Jaffrezic-Renault, Nicole Behra, Philippe Sensors (Basel) Article This article describes an optical method based on the association of surface plasmon resonance (SPR) with chitosan (CS) film and its nanocomposites, including zinc oxide (ZnO) or graphene oxide (GO) for glyphosate detection. CS and CS/ZnO or CS/GO thin films were deposited on an Au chip using the spin coating technique. The characterization, morphology, and composition of these films were performed by Fourier-transform infrared spectroscopy (FTIR), atomic force microscopy (AFM), and contact angle technique. Sensor preparation conditions including the cross-linking and mobile phase (pH and salinity) were investigated and thoroughly optimized. Results showed that the CS/ZnO thin-film composite provides the highest sensitivity for glyphosate sensing with a low detection limit of 8 nM and with high reproducibility. From the Langmuir-type adsorption model and the effect of ionic strength, the adsorption mechanisms of glyphosate could be controlled by electrostatic and steric interaction with possible formation of 1:1 outer-sphere surface complexes. The selectivity of the optical method was investigated with respect to the sorption of glyphosate metabolite (aminomethylphosphonic acid) (AMPA), glufosinate, and one of the glufonisate metabolites (3-methyl-phosphinico-propionic acid) (MPPA). Results showed that the SPR sensor offers a very good selectivity for glyphosate, but the competition of other molecules could still occur in aqueous systems. MDPI 2020-10-21 /pmc/articles/PMC7589946/ /pubmed/33096666 http://dx.doi.org/10.3390/s20205942 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Do, Minh Huy
Dubreuil, Brigitte
Peydecastaing, Jérôme
Vaca-Medina, Guadalupe
Nhu-Trang, Tran-Thi
Jaffrezic-Renault, Nicole
Behra, Philippe
Chitosan-Based Nanocomposites for Glyphosate Detection Using Surface Plasmon Resonance Sensor
title Chitosan-Based Nanocomposites for Glyphosate Detection Using Surface Plasmon Resonance Sensor
title_full Chitosan-Based Nanocomposites for Glyphosate Detection Using Surface Plasmon Resonance Sensor
title_fullStr Chitosan-Based Nanocomposites for Glyphosate Detection Using Surface Plasmon Resonance Sensor
title_full_unstemmed Chitosan-Based Nanocomposites for Glyphosate Detection Using Surface Plasmon Resonance Sensor
title_short Chitosan-Based Nanocomposites for Glyphosate Detection Using Surface Plasmon Resonance Sensor
title_sort chitosan-based nanocomposites for glyphosate detection using surface plasmon resonance sensor
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7589946/
https://www.ncbi.nlm.nih.gov/pubmed/33096666
http://dx.doi.org/10.3390/s20205942
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