Cargando…
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...
Autores principales: | , , , , , , |
---|---|
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 |
_version_ | 1783600695578984448 |
---|---|
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. |
format | Online Article Text |
id | pubmed-7589946 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT dominhhuy chitosanbasednanocompositesforglyphosatedetectionusingsurfaceplasmonresonancesensor AT dubreuilbrigitte chitosanbasednanocompositesforglyphosatedetectionusingsurfaceplasmonresonancesensor AT peydecastaingjerome chitosanbasednanocompositesforglyphosatedetectionusingsurfaceplasmonresonancesensor AT vacamedinaguadalupe chitosanbasednanocompositesforglyphosatedetectionusingsurfaceplasmonresonancesensor AT nhutrangtranthi chitosanbasednanocompositesforglyphosatedetectionusingsurfaceplasmonresonancesensor AT jaffrezicrenaultnicole chitosanbasednanocompositesforglyphosatedetectionusingsurfaceplasmonresonancesensor AT behraphilippe chitosanbasednanocompositesforglyphosatedetectionusingsurfaceplasmonresonancesensor |