A simply designed quasi-ratiometric fluorescence probe for the visual and on-site detection of levofloxacin (LVF) residues in milk and fish sample.

IF 5.6 1区 化学 Q1 CHEMISTRY, ANALYTICAL
Talanta Pub Date : 2025-04-01 Epub Date: 2024-12-18 DOI:10.1016/j.talanta.2024.127391
Xu Liu, Beibei Zhao, Xinfang Liu, Zheng Cheng, Xiaorui Yang, Xiaoyu Zhang, Xun Feng
{"title":"A simply designed quasi-ratiometric fluorescence probe for the visual and on-site detection of levofloxacin (LVF) residues in milk and fish sample.","authors":"Xu Liu, Beibei Zhao, Xinfang Liu, Zheng Cheng, Xiaorui Yang, Xiaoyu Zhang, Xun Feng","doi":"10.1016/j.talanta.2024.127391","DOIUrl":null,"url":null,"abstract":"<p><p>An europium metal organic framework (Eu-DBPA-Phen) was synthesized using 2,5-dibromoterephthalic acid (H<sub>2</sub>DBPA) and 1-10-phenanthroline (Phen) as ligands. A straightforwardc quasi-ratiometric fluorescence probe was then developed for the detection of levofloxacin (LVF) by the simplistic combination of red-emitting Eu-DBPA-Phen and the inherent blue auto-fluorescence of the target. The probe exhibits the advantages of wide linear range (0.01-50 and 50-175 μM), good selectivity, low detection limit (4.53 nM) and fast response time. In addition, a smartphone-assisted fluorescent test strip analysis platform was established for the visual and on-site detection of LVF in milk and fish samples, achieving satisfactory recovery rates ranging from 101.7 % to 103.4 % and low standard deviations (RSD ≤2.890, n = 3). Furthermore, a hierarchical clustering algorithm integrating machine learning and smartphone-test strip platform was devised to streamline the detection process. The proposed intelligent detection platform introduces a novel approach for LVF detection, thereby enhancing food safety and human health.</p>","PeriodicalId":435,"journal":{"name":"Talanta","volume":"285 ","pages":"127391"},"PeriodicalIF":5.6000,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Talanta","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1016/j.talanta.2024.127391","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/12/18 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0

Abstract

An europium metal organic framework (Eu-DBPA-Phen) was synthesized using 2,5-dibromoterephthalic acid (H2DBPA) and 1-10-phenanthroline (Phen) as ligands. A straightforwardc quasi-ratiometric fluorescence probe was then developed for the detection of levofloxacin (LVF) by the simplistic combination of red-emitting Eu-DBPA-Phen and the inherent blue auto-fluorescence of the target. The probe exhibits the advantages of wide linear range (0.01-50 and 50-175 μM), good selectivity, low detection limit (4.53 nM) and fast response time. In addition, a smartphone-assisted fluorescent test strip analysis platform was established for the visual and on-site detection of LVF in milk and fish samples, achieving satisfactory recovery rates ranging from 101.7 % to 103.4 % and low standard deviations (RSD ≤2.890, n = 3). Furthermore, a hierarchical clustering algorithm integrating machine learning and smartphone-test strip platform was devised to streamline the detection process. The proposed intelligent detection platform introduces a novel approach for LVF detection, thereby enhancing food safety and human health.

一种设计简单的准比例荧光探针用于牛奶和鱼类样品中左氧氟沙星(LVF)残留的视觉和现场检测。
以2,5-二溴对苯二甲酸(H2DBPA)和1-10-菲罗啉(Phen)为配体合成了铕金属有机骨架(Eu-DBPA-Phen)。利用红光Eu-DBPA-Phen和目标物固有的蓝色自动荧光的简单组合,建立了一种直接的直流电准比例荧光探针,用于左氧氟沙星(LVF)的检测。该探针具有线性范围宽(0.01 ~ 50 μM和50 ~ 175 μM)、选择性好、检出限低(4.53 nM)、响应时间快等优点。此外,建立了智能手机辅助荧光试纸分析平台,对牛奶和鱼类样品中的LVF进行视觉和现场检测,回收率为101.7% ~ 103.4%,标准偏差低(RSD≤2.890,n = 3)。并设计了结合机器学习和智能手机试纸平台的分层聚类算法,简化了检测流程。所提出的智能检测平台为LVF检测引入了一种新的方法,从而提高了食品安全和人类健康。
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 求助全文
来源期刊
Talanta
Talanta 化学-分析化学
CiteScore
12.30
自引率
4.90%
发文量
861
审稿时长
29 days
期刊介绍: Talanta provides a forum for the publication of original research papers, short communications, and critical reviews in all branches of pure and applied analytical chemistry. Papers are evaluated based on established guidelines, including the fundamental nature of the study, scientific novelty, substantial improvement or advantage over existing technology or methods, and demonstrated analytical applicability. Original research papers on fundamental studies, and on novel sensor and instrumentation developments, are encouraged. Novel or improved applications in areas such as clinical and biological chemistry, environmental analysis, geochemistry, materials science and engineering, and analytical platforms for omics development are welcome. Analytical performance of methods should be determined, including interference and matrix effects, and methods should be validated by comparison with a standard method, or analysis of a certified reference material. Simple spiking recoveries may not be sufficient. The developed method should especially comprise information on selectivity, sensitivity, detection limits, accuracy, and reliability. However, applying official validation or robustness studies to a routine method or technique does not necessarily constitute novelty. Proper statistical treatment of the data should be provided. Relevant literature should be cited, including related publications by the authors, and authors should discuss how their proposed methodology compares with previously reported methods.
×
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:481959085
Book学术官方微信