一种基于金属有机框架的双模式传感平台,用于有机磷农药的比色和比率荧光检测。

IF 9.8 1区 农林科学 Q1 CHEMISTRY, APPLIED
Shuli Liu , Jintao Zhou , Xin Yuan , Jun Xiong , Min-Hua Zong , Xiaoling Wu , Wen-Yong Lou
{"title":"一种基于金属有机框架的双模式传感平台,用于有机磷农药的比色和比率荧光检测。","authors":"Shuli Liu ,&nbsp;Jintao Zhou ,&nbsp;Xin Yuan ,&nbsp;Jun Xiong ,&nbsp;Min-Hua Zong ,&nbsp;Xiaoling Wu ,&nbsp;Wen-Yong Lou","doi":"10.1016/j.foodchem.2023.137272","DOIUrl":null,"url":null,"abstract":"<div><p>Pesticide residues have raised considerable concern about environmental health and food safety. Despite a great advance in enzymatic sensors for pesticide detection, the intrinsic fragility of native enzyme and possible fake results due to single mode signal have hindered its wide application. Here, a novel dual-mode sensor is reported for organophosphorus pesticide detection by using metal–organic framework (MOF) nanozyme NH<sub>2</sub>-CuBDC as sensing element. The intrinsic peroxidase-mimicking activity and fluorescence property of NH<sub>2</sub>-CuBDC enable both colorimetric and fluorescent detection of chlorpyrifos. Compared with previously reported chlorpyrifos sensors, our sensor exhibits outstanding sensitivity, and the limits of detection (LOD, S/N = 3) in colorimetric and fluorescent modes are 1.57 ng/mL and 2.33 ng/mL, respectively. No obvious interferences from other substances were measured and chlorpyrifos analysis in real samples presented good reliability, showing practical potential. This work is anticipated to provide new insights to develop multifunctional nanozymes and integrated multi-mode sensing platforms.</p></div>","PeriodicalId":318,"journal":{"name":"Food Chemistry","volume":"432 ","pages":"Article 137272"},"PeriodicalIF":9.8000,"publicationDate":"2023-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A dual-mode sensing platform based on metal–organic framework for colorimetric and ratiometric fluorescent detection of organophosphorus pesticide\",\"authors\":\"Shuli Liu ,&nbsp;Jintao Zhou ,&nbsp;Xin Yuan ,&nbsp;Jun Xiong ,&nbsp;Min-Hua Zong ,&nbsp;Xiaoling Wu ,&nbsp;Wen-Yong Lou\",\"doi\":\"10.1016/j.foodchem.2023.137272\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Pesticide residues have raised considerable concern about environmental health and food safety. Despite a great advance in enzymatic sensors for pesticide detection, the intrinsic fragility of native enzyme and possible fake results due to single mode signal have hindered its wide application. Here, a novel dual-mode sensor is reported for organophosphorus pesticide detection by using metal–organic framework (MOF) nanozyme NH<sub>2</sub>-CuBDC as sensing element. The intrinsic peroxidase-mimicking activity and fluorescence property of NH<sub>2</sub>-CuBDC enable both colorimetric and fluorescent detection of chlorpyrifos. Compared with previously reported chlorpyrifos sensors, our sensor exhibits outstanding sensitivity, and the limits of detection (LOD, S/N = 3) in colorimetric and fluorescent modes are 1.57 ng/mL and 2.33 ng/mL, respectively. No obvious interferences from other substances were measured and chlorpyrifos analysis in real samples presented good reliability, showing practical potential. This work is anticipated to provide new insights to develop multifunctional nanozymes and integrated multi-mode sensing platforms.</p></div>\",\"PeriodicalId\":318,\"journal\":{\"name\":\"Food Chemistry\",\"volume\":\"432 \",\"pages\":\"Article 137272\"},\"PeriodicalIF\":9.8000,\"publicationDate\":\"2023-08-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Food Chemistry\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0308814623018903\",\"RegionNum\":1,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Food Chemistry","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0308814623018903","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, APPLIED","Score":null,"Total":0}
引用次数: 0

摘要

农药残留引起了人们对环境健康和食品安全的极大关注。尽管用于农药检测的酶传感器取得了很大进展,但天然酶的固有脆性和单模信号可能导致的假结果阻碍了其广泛应用。本文报道了一种以金属有机框架(MOF)纳米酶NH2-CuBDC为传感元件的新型双模有机磷农药检测传感器。NH2-CuBDC固有的过氧化物酶模拟活性和荧光特性使其能够比色和荧光检测毒死蜱。与先前报道的毒死蜱传感器相比,我们的传感器表现出突出的灵敏度,在比色和荧光模式下的检测限(LOD,S/N=3)分别为1.57 ng/mL和2.33 ng/mL。未检测到其他物质的明显干扰,实际样品中的毒死蜱分析具有良好的可靠性,显示出实用潜力。这项工作有望为开发多功能纳米酶和集成多模式传感平台提供新的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A dual-mode sensing platform based on metal–organic framework for colorimetric and ratiometric fluorescent detection of organophosphorus pesticide

A dual-mode sensing platform based on metal–organic framework for colorimetric and ratiometric fluorescent detection of organophosphorus pesticide

Pesticide residues have raised considerable concern about environmental health and food safety. Despite a great advance in enzymatic sensors for pesticide detection, the intrinsic fragility of native enzyme and possible fake results due to single mode signal have hindered its wide application. Here, a novel dual-mode sensor is reported for organophosphorus pesticide detection by using metal–organic framework (MOF) nanozyme NH2-CuBDC as sensing element. The intrinsic peroxidase-mimicking activity and fluorescence property of NH2-CuBDC enable both colorimetric and fluorescent detection of chlorpyrifos. Compared with previously reported chlorpyrifos sensors, our sensor exhibits outstanding sensitivity, and the limits of detection (LOD, S/N = 3) in colorimetric and fluorescent modes are 1.57 ng/mL and 2.33 ng/mL, respectively. No obvious interferences from other substances were measured and chlorpyrifos analysis in real samples presented good reliability, showing practical potential. This work is anticipated to provide new insights to develop multifunctional nanozymes and integrated multi-mode sensing platforms.

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
Food Chemistry
Food Chemistry 工程技术-食品科技
CiteScore
16.30
自引率
10.20%
发文量
3130
审稿时长
122 days
期刊介绍: Food Chemistry publishes original research papers dealing with the advancement of the chemistry and biochemistry of foods or the analytical methods/ approach used. All papers should focus on the novelty of the research carried out.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信