Smartphone-integrated ratiometric colorimetric aptasensor for visual detection of ampicillin residue in animal-derived food samples.

IF 5.6 1区化学 Q1 CHEMISTRY, ANALYTICAL

Talanta Pub Date : 2025-10-01 Epub Date: 2025-04-02 DOI:10.1016/j.talanta.2025.128057

Reena K Sajwan, Pratima R Solanki

引用次数: 0

Abstract

The antibiotic residue in food accelerates bacteria's resistance process that is responsible for serious health issues. A smartphone-integrated ratiometric colorimetric aptasensor has been developed for ampicillin (AMP) detection in milk and egg samples. The sensing phenomenon utilizes the optical and color-changing properties of gold nanoparticles (AuNPs) and specific aptamer with higher affinity towards AMP for its selective detection. The aptasensor shows linear response with AMP concentration 0.06-9.9 μM with a lower detection limit (LOD) of 45.0 nM. The smartphone-integrated color analyzer application was used to identify the solution's red, green, and blue (RGB) color intensity and calculate the G/R ratio of color intensities in the presence of AMP. Aptasensor show linear response with AMP concentration (0-6.6 μM), with a LOD of 53.0 nM. The sensor's results were further validated with liquid chromatography and mass spectroscopy techniques (LC-MS), showing that the developed sensor is suitable for food monitoring and safety applications.

查看原文本刊更多论文

用于动物源性食品中氨苄西林残留视觉检测的智能手机集成比色传感器。

食物中的抗生素残留加速了细菌的耐药性过程，导致了严重的健康问题。开发了一种智能手机集成的比例比色传感器，用于检测牛奶和鸡蛋样品中的氨苄西林（AMP）。这种传感现象利用了金纳米粒子（AuNPs）的光学和变色特性以及对AMP具有较高亲和力的特定适配体来选择性检测。该传感器在AMP浓度为0.06 ~ 9.9 μM时呈线性响应，检测限（LOD）为45.0 nM。利用智能手机集成的颜色分析仪应用程序对溶液的红、绿、蓝（RGB）色强进行识别，并计算AMP存在时颜色强度的G/R比。aptassensor与AMP浓度（0-6.6 μM）呈线性响应，LOD为53.0 nM。通过液相色谱和质谱技术（LC-MS）进一步验证了传感器的结果，表明所开发的传感器适用于食品监测和安全应用。

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 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.