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

IF 15.1 1区 农林科学 Q1 FOOD SCIENCE & TECHNOLOGY Trends in Food Science & Technology Pub Date : 2024-08-23 DOI:10.1016/j.tifs.2024.104683
Xiaoyun Xu , Wanqing Zhang , Jin Huang , Hengyi Xu
{"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 ,&nbsp;Wanqing Zhang ,&nbsp;Jin Huang ,&nbsp;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 ,&nbsp;Wanqing Zhang ,&nbsp;Jin Huang ,&nbsp;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}
引用次数: 0

摘要

背景有机磷农药(OPs)是农业中使用最广泛的农药,其残留物对食品安全和人类健康构成潜在威胁。对食品中 OPs 含量的监测至关重要。同时,农业生产中多种农药混合使用的现象导致分析误差上升。范围和方法鉴于比色法的优越性,本综述首先以特定识别元素(生物或非生物)为突破点,对 OPs 检测的比色传感策略进行了分类和总结。其次,综述了用于 OPs 监测的比色传感器阵列(CSA),重点介绍了化学计量学集成 CSA 的设计原理和分析性能,以实现对食品中 OPs 的同时识别和鉴别。最后,还讨论了这一热点话题目前面临的挑战和未来的展望。 主要发现和结论新兴的比色传感器在检测食品中的 OPs 方面显示出巨大的潜力。化学计量学集成 CSA 可以有效克服传统 "锁键式 "传感模式的不足,为识别和区分多种 OPs 注入新的活力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Trends in Food Science & Technology
Trends in Food Science & Technology 工程技术-食品科技
CiteScore
32.50
自引率
2.60%
发文量
322
审稿时长
37 days
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.
期刊最新文献
A systemic review of yak milk and its products on the Qinghai-Tibet Plateau: Unique products, chemical composition, biological activities, and microbial composition Nutritional composition, nutraceutical aspects, and medicinal benefits of garden cress (Lepidium sativum) seeds – A geographical and processing perspective The (FWE)2 nexus: Bridging food, food waste, water, energy, and ecosystems for circular systems and sustainable development Machine learning-supported sensor array for multiplexed foodborne pathogenic bacteria detection and identification Healthy food design based on gut microbiota metabolic flux
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1