Eu-polyaspartic acid based ratiometric fluorescent probes for ultrasensitive and visual detection of tetracycline and copper ions in food samples

IF 4 2区 农林科学 Q2 CHEMISTRY, APPLIED
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Abstract

The visualization and accurate on-site detection of tetracycline and Cu2+ residues in food are essential for maintaining food safety and public health. A novel poly (aspartic acid) Ratiometric fluorescent probe was designed for the sensitive visual detection of tetracycline (Tc) and Cu2+ using the EDTA-Eu3+ complex as the sensing unit and fluorescein dye as the internal standard. The fluorescence of Eu3+ at 617 nm was turned on significantly by Tc via the “antenna effect” and can be quenched by Cu2+ owing to the inner filter effect. The probes selectively detected Tc and Cu2+ over a wide linear range, low LODs of 10 nM and 333 nM, respectively, were obtained. A smartphone APP and probe-loaded test paper were also assembled into a biomass-based portable sensor for visual point-of-use analysis. The fabricated sensors successfully monitored the Tc and Cu2+ levels in milk, honey, and tap water samples, suggesting their broad applications in food safety monitoring and environmental analysis.
基于 Eu 聚天冬氨酸的比率荧光探针,用于超灵敏和可视化检测食品样品中的四环素和铜离子
食品中四环素和 Cu2+ 残留的可视化和现场准确检测对于维护食品安全和公众健康至关重要。以 EDTA-Eu3+ 复合物为传感单元,荧光素染料为内标,设计了一种新型聚(天冬氨酸)比率荧光探针,用于四环素(Tc)和 Cu2+ 的灵敏视觉检测。通过 "天线效应",Tc 能显著激发 Eu3+ 在 617 纳米波长的荧光,而 Cu2+ 则能通过内滤光片效应熄灭 Eu3+ 的荧光。探针在很宽的线性范围内选择性地检测 Tc 和 Cu2+,LOD 分别为 10 nM 和 333 nM。智能手机 APP 和装有探针的试纸还被组装成一个基于生物质的便携式传感器,用于可视化的使用点分析。制作的传感器成功地监测了牛奶、蜂蜜和自来水样品中的锝和Cu2+水平,这表明它们在食品安全监测和环境分析中有着广泛的应用。
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来源期刊
Journal of Food Composition and Analysis
Journal of Food Composition and Analysis 工程技术-食品科技
CiteScore
6.20
自引率
11.60%
发文量
601
审稿时长
53 days
期刊介绍: The Journal of Food Composition and Analysis publishes manuscripts on scientific aspects of data on the chemical composition of human foods, with particular emphasis on actual data on composition of foods; analytical methods; studies on the manipulation, storage, distribution and use of food composition data; and studies on the statistics, use and distribution of such data and data systems. The Journal''s basis is nutrient composition, with increasing emphasis on bioactive non-nutrient and anti-nutrient components. Papers must provide sufficient description of the food samples, analytical methods, quality control procedures and statistical treatments of the data to permit the end users of the food composition data to evaluate the appropriateness of such data in their projects. The Journal does not publish papers on: microbiological compounds; sensory quality; aromatics/volatiles in food and wine; essential oils; organoleptic characteristics of food; physical properties; or clinical papers and pharmacology-related papers.
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