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Advances in Rapid Detection Methods for Foodborne Pathogens

Open access
Zhao, Xihong, Lin, Chii-Wann, Wang, Jun, Oh, Deog Hwan·2014·Journal of Microbiology and Biotechnology

Abstract

Food safety is increasingly becoming an important public health issue, as foodborne diseases present a widespread and growing public health problem in both developed and developing countries. The rapid and precise monitoring and detection of foodborne pathogens are some of the most effective ways to control and prevent human foodborne infections. Traditional microbiological detection and identification methods for foodborne pathogens are well known to be time consuming and laborious as they are increasingly being perceived as insufficient to meet the demands of rapid food testing. Recently, various kinds of rapid detection, identification, and monitoring methods have been developed for foodborne pathogens, including nucleic-acid-based methods, immunological methods, and biosensor-based methods, etc. This article reviews the principles, characteristics, and applications of recent rapid detection methods for foodborne pathogens.

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Authors
Zhao, X., Lin, C.-W., Wang, J., & Oh, D. H.
Venue
Journal of Microbiology and Biotechnology
Published
2014-03-28
Volume
24
Issue
3
Pages
297-312
ISSN
  • 1017-7825 (ISSN-L)
  • 1738-8872
OpenAlex
W2058007140
Cited by
714
References
0
FWCI
17.71
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Advances in Rapid Detection Methods for Foodborne Pathogens. https://app.cochat.ai/papers/10.4014/jmb.1310.10013
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Zhao, X., Lin, C.-W., Wang, J., & Oh, D. H. (2014). Advances in Rapid Detection Methods for Foodborne Pathogens. Journal of Microbiology and Biotechnology. https://doi.org/10.4014/jmb.1310.10013

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.