基于一体化纸质传感器的智能手机辅助便携式现场检测系统,用于检测蔬菜和水果中的有机磷农药:以 2,2-二氯乙烯基二甲基磷酸酯为模型。

IF 8.5 1区 农林科学 Q1 CHEMISTRY, APPLIED Food Chemistry Pub Date : 2024-07-10 DOI:10.1016/j.foodchem.2024.140369
Chengcheng Jin , Shuang Yang , Junlei Zheng, Fang Chai, Miaomiao Tian
{"title":"基于一体化纸质传感器的智能手机辅助便携式现场检测系统,用于检测蔬菜和水果中的有机磷农药:以 2,2-二氯乙烯基二甲基磷酸酯为模型。","authors":"Chengcheng Jin ,&nbsp;Shuang Yang ,&nbsp;Junlei Zheng,&nbsp;Fang Chai,&nbsp;Miaomiao Tian","doi":"10.1016/j.foodchem.2024.140369","DOIUrl":null,"url":null,"abstract":"<div><p>The improper use of organophosphate pesticides (OPs) can lead to residue posing a serious threat to human health and environment. Therefore, the development of a simple, portable, and sensitive detection method is crucial. Herein, a bioenzyme-nanozyme-chromogen all-in-one paper-based sensor was synthesized. Initially, the Ce/Zr-MOF with peroxidase-like activity was grown on filter paper (FP) using in-situ solvent thermal method, resulting in Ce/Zr-MOF@FP. Subsequently, the AChE-ChO-TMB system was immobilized onto Ce/Zr-MOF@FP using biocompatible gelatin, which enhanced cascade catalysis efficiency through the proximity effect. Based on the inhibition principle of OPs on AChE, we integrated this sensor with Python-based image recognition algorithm to achieve detection of OPs. Using 2,2-dichlorovinyl dimethyl phosphate (DDVP) as a model of OPs, it has good detection performance with a detection limit of 0.32 ng mL<sup>−1</sup> and a recovery rate range of 95–107%. The potential for on-site detection of DDVP residues in vegetables and fruit samples is highly promising.</p></div>","PeriodicalId":318,"journal":{"name":"Food Chemistry","volume":null,"pages":null},"PeriodicalIF":8.5000,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A smartphone-assisted portable on-site detection system for organophosphorus pesticides in vegetables and fruits based on all-in-one paper-based sensors: 2,2-Dichlorovinyl dimethyl phosphate as a model\",\"authors\":\"Chengcheng Jin ,&nbsp;Shuang Yang ,&nbsp;Junlei Zheng,&nbsp;Fang Chai,&nbsp;Miaomiao Tian\",\"doi\":\"10.1016/j.foodchem.2024.140369\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The improper use of organophosphate pesticides (OPs) can lead to residue posing a serious threat to human health and environment. Therefore, the development of a simple, portable, and sensitive detection method is crucial. Herein, a bioenzyme-nanozyme-chromogen all-in-one paper-based sensor was synthesized. Initially, the Ce/Zr-MOF with peroxidase-like activity was grown on filter paper (FP) using in-situ solvent thermal method, resulting in Ce/Zr-MOF@FP. Subsequently, the AChE-ChO-TMB system was immobilized onto Ce/Zr-MOF@FP using biocompatible gelatin, which enhanced cascade catalysis efficiency through the proximity effect. Based on the inhibition principle of OPs on AChE, we integrated this sensor with Python-based image recognition algorithm to achieve detection of OPs. Using 2,2-dichlorovinyl dimethyl phosphate (DDVP) as a model of OPs, it has good detection performance with a detection limit of 0.32 ng mL<sup>−1</sup> and a recovery rate range of 95–107%. The potential for on-site detection of DDVP residues in vegetables and fruit samples is highly promising.</p></div>\",\"PeriodicalId\":318,\"journal\":{\"name\":\"Food Chemistry\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":8.5000,\"publicationDate\":\"2024-07-10\",\"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/S0308814624020193\",\"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/S0308814624020193","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

有机磷农药(OPs)的不当使用会导致残留,对人类健康和环境构成严重威胁。因此,开发一种简单、便携、灵敏的检测方法至关重要。本文合成了一种生物酶-纳米酶-色原一体化纸基传感器。首先,利用原位溶剂热法在滤纸(FP)上生长具有过氧化物酶样活性的 Ce/Zr-MOF,得到 Ce/Zr-MOF@FP。随后,利用生物相容性明胶将 AChE-ChO-TMB 系统固定在 Ce/Zr-MOF@FP 上,通过邻近效应提高了级联催化效率。根据 OPs 对 AChE 的抑制原理,我们将该传感器与基于 Python 的图像识别算法相结合,实现了对 OPs 的检测。以 2,2-二氯乙烯基二甲基磷酸酯(DDVP)为 OPs 模型,它具有良好的检测性能,检测限为 0.32 ng mL-1,回收率范围为 95-107%。现场检测蔬菜和水果样品中的 DDVP 残留的潜力非常可观。
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
A smartphone-assisted portable on-site detection system for organophosphorus pesticides in vegetables and fruits based on all-in-one paper-based sensors: 2,2-Dichlorovinyl dimethyl phosphate as a model

The improper use of organophosphate pesticides (OPs) can lead to residue posing a serious threat to human health and environment. Therefore, the development of a simple, portable, and sensitive detection method is crucial. Herein, a bioenzyme-nanozyme-chromogen all-in-one paper-based sensor was synthesized. Initially, the Ce/Zr-MOF with peroxidase-like activity was grown on filter paper (FP) using in-situ solvent thermal method, resulting in Ce/Zr-MOF@FP. Subsequently, the AChE-ChO-TMB system was immobilized onto Ce/Zr-MOF@FP using biocompatible gelatin, which enhanced cascade catalysis efficiency through the proximity effect. Based on the inhibition principle of OPs on AChE, we integrated this sensor with Python-based image recognition algorithm to achieve detection of OPs. Using 2,2-dichlorovinyl dimethyl phosphate (DDVP) as a model of OPs, it has good detection performance with a detection limit of 0.32 ng mL−1 and a recovery rate range of 95–107%. The potential for on-site detection of DDVP residues in vegetables and fruit samples is highly promising.

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.
期刊最新文献
Corrigendum to "Janus hydrogel loaded with a CO2-generating chemical reaction system: Construction, characterization, and application in fruit and vegetable preservation" [Food Chemistry 458 (2024) 140271]. Comprehensive physicochemical indicators analysis and quality evaluation model construction for the post-harvest ripening rapeseeds. Evaluation of passive samplers as a cost-effective method to predict the impact of wildfire smoke in grapes and wines. Heat-induced interactions between microfluidized hemp protein particles and caseins or whey proteins. Natural α-glucosidase inhibitors from Aquilaria sinensis leaf-tea: Targeted bio-affinity screening, identification, and inhibition mechanism.
×
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