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基于超高信号背景比 SERS 探针的双模式侧向流免疫分析用于呋喃西林代谢物的超灵敏检测。

A dual-mode lateral flow immunoassay by ultrahigh signal-to background ratio SERS probes for nitrofurazone metabolites ultrasensitive detection.

机构信息

College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, 712100 Shaanxi, China.

Shandong Marine Resource and Environment Research Institute, Shandong Key Laboratory of Marine Ecological Restoration, No.216 Changjiang Road, Development Zone, Yantai City, Shandong Province, China.

出版信息

Food Chem. 2024 May 30;441:138374. doi: 10.1016/j.foodchem.2024.138374. Epub 2024 Jan 9.

Abstract

In this work, an ultra-sensitive lateral flow immunoassay (LFIA) with SERS/colorimetric dual signal mode was constructed for the detection of nitrofurazone metabolites, an antibiotic prohibited in animal-origin foods. Au@4-MBN@AgNRs nano-sandwich structural signal tag integrates the unique advantages of high signal-to-background ratio and anti-matrix interference through geometric control of SERS tag and nanoengineering adjustment of chemical composition. Under the optimal conditions, the detection limits of nitrofurazone metabolites by SERS/colorimetric dual-mode LFIA were 20 pg/mL (colorimetric mode) and 0.08 pg/mL (SERS mode). Excitingly, the vLOD of the colorimetric signal improved by a factor of 100 compared to Au NPs-based LFIA. In this study, the proposed dual-mode LFIA was successfully applied to the on-site real-time detection of honey, milk powder, and chicken. It is anticipated that with low background interference and anti-matrix interference output signal, our proposed dual-mode strategy can pave an innovative pathway for the fabrication of a powerful biosensor.

摘要

在这项工作中,构建了一种超灵敏的侧向流动免疫分析(LFIA),具有 SERS/比色双信号模式,用于检测抗生素在动物源性食品中被禁止使用的硝基呋喃代谢物。Au@4-MBN@AgNRs 纳米三明治结构信号标签通过 SERS 标签的几何控制和化学成分的纳米工程调整,集成了高信噪比和抗基质干扰的独特优势。在最佳条件下,SERS/比色双模式 LFIA 对硝基呋喃代谢物的检测限分别为 20 pg/mL(比色模式)和 0.08 pg/mL(SERS 模式)。令人兴奋的是,比色信号的 vLOD 与基于 Au NPs 的 LFIA 相比提高了 100 倍。在这项研究中,所提出的双模式 LFIA 成功应用于蜂蜜、奶粉和鸡肉的现场实时检测。预计我们提出的双模式策略具有低背景干扰和抗基质干扰输出信号,可为制造强大的生物传感器开辟一条创新途径。

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