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Multiple Recognition-Based Sensor for Pesticide Residues

The use of pesticides is gradually increasing to improve the yield and quality of crops. However, excessive pesticide use has led to a dramatic pollution increase in the environment and agricultural products, posing severe human health risks. Therefore, rapid, sensitive pesticide detection is essent...

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Detalles Bibliográficos
Autores principales: Li, Jie, Chen, Keren, Zhu, Longjiao, Li, Xiangyang, Li, Changmo, Chang, Qiaoying, Xu, Wentao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8979164/
https://www.ncbi.nlm.nih.gov/pubmed/35386844
http://dx.doi.org/10.3389/fchem.2022.856698
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author Li, Jie
Chen, Keren
Zhu, Longjiao
Li, Xiangyang
Li, Changmo
Chang, Qiaoying
Xu, Wentao
author_facet Li, Jie
Chen, Keren
Zhu, Longjiao
Li, Xiangyang
Li, Changmo
Chang, Qiaoying
Xu, Wentao
author_sort Li, Jie
collection PubMed
description The use of pesticides is gradually increasing to improve the yield and quality of crops. However, excessive pesticide use has led to a dramatic pollution increase in the environment and agricultural products, posing severe human health risks. Therefore, rapid, sensitive pesticide detection is essential. Various pesticides detection methods and products have been developed in recent years. This brief review summarized the point-of-care testing (POCT) detection of pesticides based on multiple recognition, including protein-, aptamer-, nanomaterial-, and macrocycle-based recognition. The review aimed to address the growing demands for regulating and destroying pesticides or other adverse agriculture-related applications in the real world.
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spelling pubmed-89791642022-04-05 Multiple Recognition-Based Sensor for Pesticide Residues Li, Jie Chen, Keren Zhu, Longjiao Li, Xiangyang Li, Changmo Chang, Qiaoying Xu, Wentao Front Chem Chemistry The use of pesticides is gradually increasing to improve the yield and quality of crops. However, excessive pesticide use has led to a dramatic pollution increase in the environment and agricultural products, posing severe human health risks. Therefore, rapid, sensitive pesticide detection is essential. Various pesticides detection methods and products have been developed in recent years. This brief review summarized the point-of-care testing (POCT) detection of pesticides based on multiple recognition, including protein-, aptamer-, nanomaterial-, and macrocycle-based recognition. The review aimed to address the growing demands for regulating and destroying pesticides or other adverse agriculture-related applications in the real world. Frontiers Media S.A. 2022-03-21 /pmc/articles/PMC8979164/ /pubmed/35386844 http://dx.doi.org/10.3389/fchem.2022.856698 Text en Copyright © 2022 Li, Chen, Zhu, Li, Li, Chang and Xu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Chemistry
Li, Jie
Chen, Keren
Zhu, Longjiao
Li, Xiangyang
Li, Changmo
Chang, Qiaoying
Xu, Wentao
Multiple Recognition-Based Sensor for Pesticide Residues
title Multiple Recognition-Based Sensor for Pesticide Residues
title_full Multiple Recognition-Based Sensor for Pesticide Residues
title_fullStr Multiple Recognition-Based Sensor for Pesticide Residues
title_full_unstemmed Multiple Recognition-Based Sensor for Pesticide Residues
title_short Multiple Recognition-Based Sensor for Pesticide Residues
title_sort multiple recognition-based sensor for pesticide residues
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8979164/
https://www.ncbi.nlm.nih.gov/pubmed/35386844
http://dx.doi.org/10.3389/fchem.2022.856698
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