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Authors

WANG Fangmei, Hunan Provincial Institute of Quality Inspection of Products , Changsha , Hunan 410007 , China;Key Laboratory Food Safety Monitoring and Early Warning , Changsha , Hunan 410007 , China
ZHONG Wentao, Hunan Provincial Institute of Quality Inspection of Products , Changsha , Hunan 410007 , China;Key Laboratory Food Safety Monitoring and Early Warning , Changsha , Hunan 410007 , China
LI Zheng, Hunan Provincial Institute of Quality Inspection of Products , Changsha , Hunan 410007 , China;Key Laboratory Food Safety Monitoring and Early Warning , Changsha , Hunan 410007 , China
XU Yue, Hunan Provincial Institute of Quality Inspection of Products , Changsha , Hunan 410007 , China;Key Laboratory Food Safety Monitoring and Early Warning , Changsha , Hunan 410007 , China
SU Jiayou, Hunan Provincial Institute of Quality Inspection of Products , Changsha , Hunan 410007 , China;Key Laboratory Food Safety Monitoring and Early Warning , Changsha , Hunan 410007 , China
XIANG Jun, Hunan Provincial Institute of Quality Inspection of Products , Changsha , Hunan 410007 , China;Key Laboratory Food Safety Monitoring and Early Warning , Changsha , Hunan 410007 , China
CHEN Yao, Hunan Provincial Institute of Quality Inspection of Products , Changsha , Hunan 410007 , China;Key Laboratory Food Safety Monitoring and Early Warning , Changsha , Hunan 410007 , China
LI Baiyu, Hunan Provincial Institute of Quality Inspection of Products , Changsha , Hunan 410007 , China;Key Laboratory Food Safety Monitoring and Early Warning , Changsha , Hunan 410007 , China
LU Lin, Hunan Provincial Institute of Quality Inspection of Products , Changsha , Hunan 410007 , China;Key Laboratory Food Safety Monitoring and Early Warning , Changsha , Hunan 410007 , China
FANG Qun, Hunan Provincial Institute of Quality Inspection of Products , Changsha , Hunan 410007 , China;Key Laboratory Food Safety Monitoring and Early Warning , Changsha , Hunan 410007 , China

Abstract

[Objective] To develop a novel multivariate qualitative analysis method for detecting pathogenic bacteria in food microorganisms based on quantum dot nanoparticles,aiming to meet the current requirements of food safety supervision and the timeliness of short -shelf -life food detection.[Methods] Quantum dots,with their diverse categories and various synthesis methods,were combined with immunofluorescence analysis to establish a rapid,sensitive,and efficient method for detecting two or more different pathogenic bacteria.[Results]] This method enabled the simultaneous,rapid,sensitive,and efficient detection of foodborne pathogens.When the bacterial concentration was 103 CFU/mL,pathogens could still be detected within 15 min.Blind sample testing of pathogenic bacteria in dairy products with different substrates showed a 100% agreement rate with traditional methods.[Conclusion] This method exhibits strong specificity and high sensitivity for pathogen detection,while also being simple to operate and requiring a short detection time,making it highly practical.

Publication Date

4-25-2025

First Page

39

Last Page

44

DOI

10.13652/j.spjx.1003.5788.2024.60144

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