Recent Progress on the Application of Nano-Biosensors for the Detection of Foodborne Pathogenic Bacteria

被引：0
|
作者：
Zhang H. [1 ]
Gao X. [1 ]
Liu L. [1 ]
Jia M. [1 ]
Li J. [1 ]
机构：
[1] Liaoning Provincial Key Laboratory of Food Safety, National Joint Engineering Research Center for Storage, Processing and Safety Control Technology of Fresh Agricultural Products, College of Food Science and Engineering, Bohai University, Jinzhou
来源：
Shipin Kexue/Food Science | 2024年 / 45卷 / 03期
关键词：
dual-mode; foodborne pathogenic bacteria; multi-mode; nano-biosensors; single-mode;
D O I：
10.7506/spkx1002-6630-20230222-206
中图分类号：
学科分类号：
摘要：
The contamination of foodborne pathogenic bacteria poses great threats to human health. Conventional foodborne pathogen detection methods suffer from the shortcomings of time-consuming, cumbersome, and non-real time. Hence, it is of great significance to explore a sensitive, safe, simple and economical method for foodborne pathogen detection. Compared with the traditional methods, nano-biosensor-based detection assays possess merits such as exceptional sensitivity, high selectivity, real-time detection, low consumption and low limit of detection. In this article, these nanobiosensor-based methods are summarized, and the principles and advantages of single-, dual- and multi-mode detection are comprehensively discussed. Meanwhile, an outlook on the application of nano-biosensors for the detection of foodborne pathogens is given with the goal of providing a reference for the optimization of the existing detection methods for foodborne pathogenic bacteria. © 2024 Chinese Chamber of Commerce. All rights reserved.
引用
收藏
页码：348 / 357
页数：9
相关论文
共 74 条
  • [1] KUMAR A, MALINEE M, DHIMAN A, Et al., Aptamer technology for the detection of foodborne pathogens and toxins, Advanced biosensors for health care applications, pp. 45-69, (2019)
  • [2] First meeting of the Foodborne Disease Epidemiology Reference Group (FERG) 2021–2024, (2021)
  • [3] SIMPSON R B, ZHOU B J, NAUMOVA E N., Seasonal synchronization of foodborne outbreaks in the United States, 1996–2017, Scientific Reports, 10, 1, (2020)
  • [4] Estimates of foodborne illness in the United States
  • [5] HASSANI S, MOOSAVY M H, GHARAJALAR S N, Et al., High prevalence of antibiotic resistance in pathogenic foodborne bacteria isolated from bovine milk, Scientific Reports, 12, 1, (2022)
  • [6] ZHAO Y, WANG H R, ZHANG P P, Et al., Rapid multiplex detection of 10 foodborne pathogens with an up-converting phosphor technology-based 10-channel lateral flow assay, Scientific Reports, 6, 1, (2016)
  • [7] DENES T, WIEDMANN M., Environmental responses and phage susceptibility in foodborne pathogens: implications for improving applications in food safety, Current Opinion in Biotechnology, 26, pp. 45-49, (2014)
  • [8] LI Y M, FAN P H, ZHOU S S, Et al., Loop-mediated isothermal amplification (LAMP): a novel rapid detection platform for pathogens, Microbial Pathogenesis, 107, pp. 54-61, (2017)
  • [9] WEI X Y, ZHAO X H., Advances in typing and identification of foodborne pathogens, Current Opinion in Food Science, 37, pp. 52-57, (2021)
  • [10] QIAO Z H, FU Y C, LEI C Y, Et al., Advances in antimicrobial peptides-based biosensing methods for detection of foodborne pathogens: a review, Food Control, 112, (2020)
12345678