Literature DB >> 35030438

Non-biological fluorescent chemosensors for pesticides detection.

Jiao Yang1, Shu-Wei Chen1, Bingwen Zhang1, Qin Tu2, Jinyi Wang3, Mao-Sen Yuan4.   

Abstract

The ongoing poisoning of agricultural products has pushed the security problem to become an important issue. Among them, exceeding the standard rate of pesticide residues is the main factor influencing the quality and security of agricultural products. Moreover, the abuse of pesticides has introduced a large amount of residues in soil and drinking water, which will enter the food chain to the human body, leading to neurological disorders and cancer. Therefore, great efforts have been devoted to developing fluorescent sensors for detecting pesticide in a facile, quickly, sensitive, selective, accurate manner, which exhibit greater advantages than some traditional methods. In this review, we mainly focus on summarizing the non-biological fluorescent probes for organic pesticides detection with the detection limit of micromole to nanomole, including organic functional small molecules, calixarenes and pillararenes, metal organic framework systems, and nanomaterials. Meanwhile, we described the different sensing mechanisms for pesticides detection of these mentioned fluorescent sensors, the detection limit of each pesticide, the application in detecting actual samples, as well as their respective advantages and development prospects associated with present non-biological fluorescent sensors.
Copyright © 2022 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Chemosensor; Detection; Fluorescent; Food security; Pesticide residues

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Year:  2022        PMID: 35030438     DOI: 10.1016/j.talanta.2021.123200

Source DB:  PubMed          Journal:  Talanta        ISSN: 0039-9140            Impact factor:   6.057


  1 in total

1.  Highly Selective Detection of Paraoxon in Food Based on the Platform of Cu Nanocluster/MnO2 Nanosheets.

Authors:  Shuo Liu; Peng Zhang; Yuming Miao; Chenmin Li; Yu-E Shi; Jinhua Liu; Yun-Kai Lv; Zhenguang Wang
Journal:  Nanomaterials (Basel)       Date:  2022-04-22       Impact factor: 5.719

  1 in total

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