Real-time detection of organophosphorus pesticides in water using an unmanned boat-borne Raman spectrometer†

IF 3.3 3区 化学 Q2 CHEMISTRY, ANALYTICAL Analyst Pub Date : 2025-02-03 DOI:10.1039/D4AN01587H
Chen Zhang, Jiahui Zhu, Wenqi Ye, Xiaohong Liu, Ruishuang Zhuo, Chi Wang, Hong Liu and Wei Zhang
{"title":"Real-time detection of organophosphorus pesticides in water using an unmanned boat-borne Raman spectrometer†","authors":"Chen Zhang, Jiahui Zhu, Wenqi Ye, Xiaohong Liu, Ruishuang Zhuo, Chi Wang, Hong Liu and Wei Zhang","doi":"10.1039/D4AN01587H","DOIUrl":null,"url":null,"abstract":"<p >Organophosphorus pesticides (OPs) have been widely used in agricultural production. However, their potential harm to human health and the environment cannot be ignored. On-site detection of OPs in water is valuable for pollution source tracing and early warning of environmental pollution. We design an unmanned boat detection system equipped with a Raman spectrometer, which can achieve automated sampling and real-time detection of OPs in water. The unmanned boat detection system integrates automatic sampling, chemical reaction, spectral detection, and signal transmission modules. This method can specifically detect OPs in water by utilizing the inhibition effect of OPs on acetylcholinesterase activity. The minimum detection concentration is 700 nM for parathion-methyl. This method shows good anti-interference ability for other kinds of pesticides, demonstrating its applicability for rapid detection of OPs under complex water environmental conditions. Our strategy provides an efficient solution for real-time and flexible monitoring of OPs in water environments.</p>","PeriodicalId":63,"journal":{"name":"Analyst","volume":" 6","pages":" 1122-1130"},"PeriodicalIF":3.3000,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Analyst","FirstCategoryId":"92","ListUrlMain":"https://pubs.rsc.org/en/content/articlelanding/2025/an/d4an01587h","RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0

Abstract

Organophosphorus pesticides (OPs) have been widely used in agricultural production. However, their potential harm to human health and the environment cannot be ignored. On-site detection of OPs in water is valuable for pollution source tracing and early warning of environmental pollution. We design an unmanned boat detection system equipped with a Raman spectrometer, which can achieve automated sampling and real-time detection of OPs in water. The unmanned boat detection system integrates automatic sampling, chemical reaction, spectral detection, and signal transmission modules. This method can specifically detect OPs in water by utilizing the inhibition effect of OPs on acetylcholinesterase activity. The minimum detection concentration is 700 nM for parathion-methyl. This method shows good anti-interference ability for other kinds of pesticides, demonstrating its applicability for rapid detection of OPs under complex water environmental conditions. Our strategy provides an efficient solution for real-time and flexible monitoring of OPs in water environments.

Abstract Image

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
无人船载拉曼光谱仪实时检测水中有机磷农药
有机磷农药在农业生产中得到了广泛应用。然而,它们对人类健康和环境的潜在危害不容忽视。水体中有机磷化合物的现场检测对污染源溯源和环境污染预警具有重要意义。我们在此设计了一种配备拉曼光谱仪的无人船探测系统,可以实现对水中OPs的自动采样和实时探测。无人船检测系统集成了自动采样、化学反应、光谱检测、信号传输等模块。该方法利用OPs对乙酰胆碱酯酶活性的抑制作用,对水中的OPs农药进行特异性检测。甲基对硫磷的最低检测浓度为700 nM。该方法对其他种类农药具有良好的抗干扰能力,适用于复杂水环境条件下OPs的快速检测。我们的策略为水环境中实时、灵活的OPs监测提供了有效的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Analyst
Analyst 化学-分析化学
CiteScore
7.80
自引率
4.80%
发文量
636
审稿时长
1.9 months
期刊介绍: "Analyst" journal is the home of premier fundamental discoveries, inventions and applications in the analytical and bioanalytical sciences.
期刊最新文献
Recent Progress in Wearable Electrochemical Sensors Based on MXene-Conductive Hydrogels Urinary Metabolomic Characterization of Meclofenoxate Based on UHPLC-Q Exactive HF Orbitrap MS Technology MOF-metal nanohybrid-assisted charge transfer amplification for electrochemical biosensing of MUC1 Cancer Biomarker Magnetic-aminopropyltriethoxysilane-sulfanilamide: A New Functional Sorbent for Selective Preconcentration of Sulfonylurea Antidiabetic Drugs in Biological Samples Highly sensitive Love-wave surface acoustic wave immunosensor for point-of-care detection of Cyfra21-1 in saliva
×
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:604180095
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