呋喃西林
双模
基质(化学分析)
色谱法
干扰(通信)
生物传感器
信号(编程语言)
材料科学
化学
纳米技术
计算机科学
医学
频道(广播)
工程类
航空航天工程
程序设计语言
传统医学
计算机网络
作者
Yanli Tian,Xuechi Yin,Jia Li,Leina Dou,Shaochi Wang,Conghui Jia,Yuechun Li,Yaqian Chen,Shengxue Yan,Jianlong Wang,Daohong Zhang
出处
期刊:Food Chemistry
[Elsevier]
日期:2024-01-09
卷期号:441: 138374-138374
被引量:5
标识
DOI:10.1016/j.foodchem.2024.138374
摘要
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.
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