{"title":"用于检测食品中有机磷农药的比色传感器:从传感策略到化学计量学驱动的判别","authors":"Xiaoyun Xu , Wanqing Zhang , Jin Huang , Hengyi Xu","doi":"10.1016/j.tifs.2024.104683","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>Organophosphorus pesticides (OPs) are the most widely used pesticides in agriculture, while their residues pose a potential threat to food safety and human health. The monitoring of OPs levels in food is of utmost importance. Meanwhile, the phenomenon of mixed-use multiple types of pesticides in agricultural production leads to the rise in analytical error. Identifying and discriminating multiple species of OPs with similar chemical structures is still challenging.</p></div><div><h3>Scope and approach</h3><p>Given the superior characteristics of colorimetry, in this review, colorimetric sensing strategies of OPs detection are first classified and summarized with specific recognition elements (biotic or abiotic) as the breakthrough point. Secondly, the colorimetric sensor arrays (CSAs) for OPs monitoring are reviewed, highlighting the design principles and analytical performances of chemometrics integrated CSAs for achieving simultaneous identification and discrimination of OPs in food. Finally, the current challenges and future perspectives in this hot topic are also discussed.</p></div><div><h3>Key findings and conclusions</h3><p>Emerging colorimetric sensors have showed great potential for the detection of OPs in food. Chemometrics integrated CSAs can efficiently conquer the deficiency of conventional “lock-and-key” sensing mode and inject new vitality for the identification and discrimination of multi-OPs.</p></div>","PeriodicalId":441,"journal":{"name":"Trends in Food Science & Technology","volume":"152 ","pages":"Article 104683"},"PeriodicalIF":15.1000,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Colorimetric sensors for detection of organophosphorus pesticides in food: From sensing strategies to chemometrics driven discrimination\",\"authors\":\"Xiaoyun Xu , Wanqing Zhang , Jin Huang , Hengyi Xu\",\"doi\":\"10.1016/j.tifs.2024.104683\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><p>Organophosphorus pesticides (OPs) are the most widely used pesticides in agriculture, while their residues pose a potential threat to food safety and human health. The monitoring of OPs levels in food is of utmost importance. Meanwhile, the phenomenon of mixed-use multiple types of pesticides in agricultural production leads to the rise in analytical error. Identifying and discriminating multiple species of OPs with similar chemical structures is still challenging.</p></div><div><h3>Scope and approach</h3><p>Given the superior characteristics of colorimetry, in this review, colorimetric sensing strategies of OPs detection are first classified and summarized with specific recognition elements (biotic or abiotic) as the breakthrough point. Secondly, the colorimetric sensor arrays (CSAs) for OPs monitoring are reviewed, highlighting the design principles and analytical performances of chemometrics integrated CSAs for achieving simultaneous identification and discrimination of OPs in food. Finally, the current challenges and future perspectives in this hot topic are also discussed.</p></div><div><h3>Key findings and conclusions</h3><p>Emerging colorimetric sensors have showed great potential for the detection of OPs in food. Chemometrics integrated CSAs can efficiently conquer the deficiency of conventional “lock-and-key” sensing mode and inject new vitality for the identification and discrimination of multi-OPs.</p></div>\",\"PeriodicalId\":441,\"journal\":{\"name\":\"Trends in Food Science & Technology\",\"volume\":\"152 \",\"pages\":\"Article 104683\"},\"PeriodicalIF\":15.1000,\"publicationDate\":\"2024-08-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Trends in Food Science & Technology\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0924224424003595\",\"RegionNum\":1,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"FOOD SCIENCE & TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Trends in Food Science & Technology","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0924224424003595","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"FOOD SCIENCE & TECHNOLOGY","Score":null,"Total":0}
Colorimetric sensors for detection of organophosphorus pesticides in food: From sensing strategies to chemometrics driven discrimination
Background
Organophosphorus pesticides (OPs) are the most widely used pesticides in agriculture, while their residues pose a potential threat to food safety and human health. The monitoring of OPs levels in food is of utmost importance. Meanwhile, the phenomenon of mixed-use multiple types of pesticides in agricultural production leads to the rise in analytical error. Identifying and discriminating multiple species of OPs with similar chemical structures is still challenging.
Scope and approach
Given the superior characteristics of colorimetry, in this review, colorimetric sensing strategies of OPs detection are first classified and summarized with specific recognition elements (biotic or abiotic) as the breakthrough point. Secondly, the colorimetric sensor arrays (CSAs) for OPs monitoring are reviewed, highlighting the design principles and analytical performances of chemometrics integrated CSAs for achieving simultaneous identification and discrimination of OPs in food. Finally, the current challenges and future perspectives in this hot topic are also discussed.
Key findings and conclusions
Emerging colorimetric sensors have showed great potential for the detection of OPs in food. Chemometrics integrated CSAs can efficiently conquer the deficiency of conventional “lock-and-key” sensing mode and inject new vitality for the identification and discrimination of multi-OPs.
期刊介绍:
Trends in Food Science & Technology is a prestigious international journal that specializes in peer-reviewed articles covering the latest advancements in technology, food science, and human nutrition. It serves as a bridge between specialized primary journals and general trade magazines, providing readable and scientifically rigorous reviews and commentaries on current research developments and their potential applications in the food industry.
Unlike traditional journals, Trends in Food Science & Technology does not publish original research papers. Instead, it focuses on critical and comprehensive reviews to offer valuable insights for professionals in the field. By bringing together cutting-edge research and industry applications, this journal plays a vital role in disseminating knowledge and facilitating advancements in the food science and technology sector.