Yin Xuechi, Zhang Jiayi, Cheng Yuanyuan, Lu Yangyang, Wu Qiaoying, Dou Leina, Wang Yanru, Wang Jianlong, Zhang Daohong
College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shaanxi, PR China.
College of Veterinary Medicine, Northwest A&F University, Yangling 712100, Shaanxi, PR China.
Food Chem. 2025 Mar 30;469:142579. doi: 10.1016/j.foodchem.2024.142579. Epub 2024 Dec 19.
Fully excavating and utilizing the rich information presented on bacterial surfaces can open innovative solutions for the multi-mechanism detection of food-borne pathogens. In this work, a colorimetric-fluorescence dual-signal lateral flow immunoassay was used to establish a simultaneous detection strategy integrating five physical, chemical, and biometric combining mechanisms for Salmonella typhimurium (S. typhimurium) and Staphylococcus aureus (S. aureus). To improve sensitivity, a layer-by-layer design of aggregation-induced emission nanosphere@ polydopamine@ platinum (AIENS@PDA@Pt) nanostructure with excellent colorimetric-fluorescence signal, abundant recognition sites, and rough surface was employed as a signal tag. Under optimal conditions, the colorimetric detection limit of the multi-mechanism reliant simultaneous detection LFIA (multi-MRSD LFIA) for S. typhimurium and S. aureus is 2 × 10 and 5 × 10 cfu·mL, respectively, and the fluorescence detection limit is 500 cfu·mL for both target bacteria. This study introduces a novel approach for multi-target, multi-mechanism, and multi-signal output detection of bacteria, providing a significant direction for pathogen research.
充分挖掘和利用细菌表面呈现的丰富信息可为食源性病原体的多机制检测开辟创新解决方案。在这项工作中，采用比色-荧光双信号侧向流动免疫分析法建立了一种同时检测策略，该策略整合了鼠伤寒沙门氏菌（Salmonella typhimurium，简称S. typhimurium）和金黄色葡萄球菌（Staphylococcus aureus，简称S. aureus）的五种物理、化学和生物识别结合机制。为提高灵敏度，采用具有出色比色-荧光信号、丰富识别位点和粗糙表面的聚集诱导发光纳米球@聚多巴胺@铂（AIENS@PDA@Pt）纳米结构的逐层设计作为信号标签。在最佳条件下，基于多机制的同时检测侧向流动免疫分析法（multi-MRSD LFIA）对鼠伤寒沙门氏菌和金黄色葡萄球菌的比色检测限分别为2×10和5×10 cfu·mL，两种目标细菌的荧光检测限均为500 cfu·mL。本研究引入了一种用于细菌多靶点、多机制和多信号输出检测的新方法，为病原体研究提供了重要方向。
