Bacterial surface informatics reliant on multi-mechanism simultaneous detection for Salmonella typhimurium and Staphylococcus aureus

Xuechi Yin; Jiayi Zhang; Yuanyuan Cheng; Yangyang Lu; Qiaoying Wu; Leina Dou; Yanru Wang; Jianlong Wang; Daohong Zhang

doi:10.1016/j.foodchem.2024.142579

Bacterial surface informatics reliant on multi-mechanism simultaneous detection for Salmonella typhimurium and Staphylococcus aureus

Food Chem. 2024 Dec 19:469:142579. doi: 10.1016/j.foodchem.2024.142579. Online ahead of print.

Authors

Xuechi Yin¹, Jiayi Zhang¹, Yuanyuan Cheng¹, Yangyang Lu¹, Qiaoying Wu¹, Leina Dou², Yanru Wang¹, Jianlong Wang¹, Daohong Zhang³

Affiliations

¹ College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shaanxi, PR China.
² College of Veterinary Medicine, Northwest A&F University, Yangling 712100, Shaanxi, PR China.
³ College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shaanxi, PR China; College of Food Engineering, Ludong University, Yantai, 264025, Shandong, PR China. Electronic address: zhangdh@nwsuaf.edu.cn.

PMID: 39724704
DOI: 10.1016/j.foodchem.2024.142579

Abstract

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 × 10⁴ and 5 × 10⁴ cfu·mL^-1, respectively, and the fluorescence detection limit is 500 cfu·mL^-1 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.

Keywords: Dual signal; Food-borne pathogens; Milk; Multiple recognition mechanisms; Simultaneous detection.