Cargando…
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...
Autores principales: | , , , , , , |
---|---|
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 |
_version_ | 1784681116767092736 |
---|---|
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. |
format | Online Article Text |
id | pubmed-8979164 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT lijie multiplerecognitionbasedsensorforpesticideresidues AT chenkeren multiplerecognitionbasedsensorforpesticideresidues AT zhulongjiao multiplerecognitionbasedsensorforpesticideresidues AT lixiangyang multiplerecognitionbasedsensorforpesticideresidues AT lichangmo multiplerecognitionbasedsensorforpesticideresidues AT changqiaoying multiplerecognitionbasedsensorforpesticideresidues AT xuwentao multiplerecognitionbasedsensorforpesticideresidues |