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一种设计简单的准比率荧光探针,用于牛奶和鱼类样品中左氧氟沙星(LVF)残留的可视化和现场检测。

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

作者信息

Liu Xu, Zhao Beibei, Liu Xinfang, Cheng Zheng, Yang Xiaorui, Zhang Xiaoyu, Feng Xun

机构信息

College of Food and Bioengineering, Henan University of Science and Technology, Luoyang, 471022, China; College of Chemistry and Chemical Engineering, Henan Key Laboratory of Function-Oriented Porous Materials, Luoyang Normal University, Luoyang, 471934, China.

College of Chemistry and Chemical Engineering, Henan Key Laboratory of Function-Oriented Porous Materials, Luoyang Normal University, Luoyang, 471934, China.

出版信息

Talanta. 2025 Apr 1;285:127391. doi: 10.1016/j.talanta.2024.127391. Epub 2024 Dec 18.

Abstract

An europium metal organic framework (Eu-DBPA-Phen) was synthesized using 2,5-dibromoterephthalic acid (HDBPA) 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.

摘要

以2,5-二溴对苯二甲酸(HDBPA)和1,10-菲咯啉(Phen)为配体合成了一种铕金属有机框架(Eu-DBPA-Phen)。然后,通过将发红光的Eu-DBPA-Phen与目标物固有的蓝色自发荧光进行简单组合,开发了一种直接的准比率荧光探针用于检测左氧氟沙星(LVF)。该探针具有线性范围宽(0.01 - 50和50 - 175 μM)、选择性好、检测限低(4.53 nM)和响应时间快等优点。此外,还建立了一个智能手机辅助的荧光试纸分析平台,用于牛奶和鱼类样品中LVF的可视化现场检测,回收率在101.7%至103.4%之间,标准偏差低(RSD≤2.890,n = 3)。此外,还设计了一种集成机器学习和智能手机试纸平台的层次聚类算法,以简化检测过程。所提出的智能检测平台为LVF检测引入了一种新方法,从而提高了食品安全和人类健康水平。

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