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Localized Surface Plasmon Resonance-Based Nanosensor for Rapid Detection of Glyphosate in Food Samples

In this study, we developed a biosensor based on the localized surface plasmon resonance (LSPR) phenomenon of gold nanoparticles (AuNPs) to detect the widely used herbicide glyphosate in food samples. To do so, either cysteamine or a specific antibody for glyphosate were conjugated to the surface of...

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Autores principales: Côco, Ariany Soares, Campos, Fabiana Vasconcelos, Díaz, Camilo Arturo Rodríguez, Guimarães, Marco César Cunegundes, Prado, Adilson Ribeiro, de Oliveira, Jairo Pinto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10216528/
https://www.ncbi.nlm.nih.gov/pubmed/37232873
http://dx.doi.org/10.3390/bios13050512
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author Côco, Ariany Soares
Campos, Fabiana Vasconcelos
Díaz, Camilo Arturo Rodríguez
Guimarães, Marco César Cunegundes
Prado, Adilson Ribeiro
de Oliveira, Jairo Pinto
author_facet Côco, Ariany Soares
Campos, Fabiana Vasconcelos
Díaz, Camilo Arturo Rodríguez
Guimarães, Marco César Cunegundes
Prado, Adilson Ribeiro
de Oliveira, Jairo Pinto
author_sort Côco, Ariany Soares
collection PubMed
description In this study, we developed a biosensor based on the localized surface plasmon resonance (LSPR) phenomenon of gold nanoparticles (AuNPs) to detect the widely used herbicide glyphosate in food samples. To do so, either cysteamine or a specific antibody for glyphosate were conjugated to the surface of the nanoparticles. AuNPs were synthesized using the sodium citrate reduction method and had their concentration determined via inductively plasma coupled mass spectrometry. Their optical properties were analyzed using UV-vis spectroscopy, X-ray diffraction, and transmission electron microscopy. Functionalized AuNPs were further characterized via Fourier-transform infrared spectroscopy, Raman scattering, Zeta potential, and dynamic light scattering. Both conjugates succeeded in detecting the presence of glyphosate in the colloid, although nanoparticles functionalized with cysteamine tended to aggregate at high concentrations of the herbicide. On the other hand, AuNPs functionalized with anti-glyphosate functioned at a broad concentration range and successfully identified the presence of the herbicide in non-organic coffee samples and when it was added to an organic coffee sample. This study demonstrates the potential of AuNP-based biosensors to detect glyphosate in food samples. The low-cost and specificity of these biosensors make them a viable alternative to current methods for detecting glyphosate in foodstuffs.
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spelling pubmed-102165282023-05-27 Localized Surface Plasmon Resonance-Based Nanosensor for Rapid Detection of Glyphosate in Food Samples Côco, Ariany Soares Campos, Fabiana Vasconcelos Díaz, Camilo Arturo Rodríguez Guimarães, Marco César Cunegundes Prado, Adilson Ribeiro de Oliveira, Jairo Pinto Biosensors (Basel) Communication In this study, we developed a biosensor based on the localized surface plasmon resonance (LSPR) phenomenon of gold nanoparticles (AuNPs) to detect the widely used herbicide glyphosate in food samples. To do so, either cysteamine or a specific antibody for glyphosate were conjugated to the surface of the nanoparticles. AuNPs were synthesized using the sodium citrate reduction method and had their concentration determined via inductively plasma coupled mass spectrometry. Their optical properties were analyzed using UV-vis spectroscopy, X-ray diffraction, and transmission electron microscopy. Functionalized AuNPs were further characterized via Fourier-transform infrared spectroscopy, Raman scattering, Zeta potential, and dynamic light scattering. Both conjugates succeeded in detecting the presence of glyphosate in the colloid, although nanoparticles functionalized with cysteamine tended to aggregate at high concentrations of the herbicide. On the other hand, AuNPs functionalized with anti-glyphosate functioned at a broad concentration range and successfully identified the presence of the herbicide in non-organic coffee samples and when it was added to an organic coffee sample. This study demonstrates the potential of AuNP-based biosensors to detect glyphosate in food samples. The low-cost and specificity of these biosensors make them a viable alternative to current methods for detecting glyphosate in foodstuffs. MDPI 2023-04-30 /pmc/articles/PMC10216528/ /pubmed/37232873 http://dx.doi.org/10.3390/bios13050512 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Communication
Côco, Ariany Soares
Campos, Fabiana Vasconcelos
Díaz, Camilo Arturo Rodríguez
Guimarães, Marco César Cunegundes
Prado, Adilson Ribeiro
de Oliveira, Jairo Pinto
Localized Surface Plasmon Resonance-Based Nanosensor for Rapid Detection of Glyphosate in Food Samples
title Localized Surface Plasmon Resonance-Based Nanosensor for Rapid Detection of Glyphosate in Food Samples
title_full Localized Surface Plasmon Resonance-Based Nanosensor for Rapid Detection of Glyphosate in Food Samples
title_fullStr Localized Surface Plasmon Resonance-Based Nanosensor for Rapid Detection of Glyphosate in Food Samples
title_full_unstemmed Localized Surface Plasmon Resonance-Based Nanosensor for Rapid Detection of Glyphosate in Food Samples
title_short Localized Surface Plasmon Resonance-Based Nanosensor for Rapid Detection of Glyphosate in Food Samples
title_sort localized surface plasmon resonance-based nanosensor for rapid detection of glyphosate in food samples
topic Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10216528/
https://www.ncbi.nlm.nih.gov/pubmed/37232873
http://dx.doi.org/10.3390/bios13050512
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