Research Progress of <i>Shigella</i> Detection Technology in Food

LU Xin; WANG Lijuan; GUO Wei; MA Xiaoyan; ZHANG Wei

doi:10.13386/j.issn1002-0306.2020100045

Volume 43 Issue 1

Dec. 2021

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Science and Technology of Food Industry > 2022 > 43(1): 410-416. > DOI: 10.13386/j.issn1002-0306.2020100045

LU Xin, WANG Lijuan, GUO Wei, et al. Research Progress of Shigella Detection Technology in Food[J]. Science and Technology of Food Industry, 2022, 43(1): 410−416. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2020100045.

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Research Progress of Shigella Detection Technology in Food

LU Xin^1,,
WANG Lijuan^2,,
GUO Wei²,
MA Xiaoyan²,
ZHANG Wei^{2, 3, 4, ,}

1.
College of Science and Technology, Hebei Agricultural University, Cangzhou 061100, China
2.
College of Food Science and Technology, Hebei Agricultural University, Baoding 071001, China
3.
College of Life Sciences, Hebei Agricultural University, Baoding 071001, China
４.
Hebei Key Laboratory of Analysis and Control of Zoonotic Pathogenic Microorganism，Baoding 071001,China

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Received Date: October 11, 2020
Available Online: November 02, 2021

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Abstract

Abstract

Shigella is one of the main food-borne pathogens, and its low infectious dose and serious hazard have attracted people's attention. Therefore, it is essential to develop rapid, sensitive and efficient methods for the detection of Shigella and to ensure food quality and safety. Methods for detecting Shigella can be divided into three categories: traditional culture methods, immunological methods and molecular biology methods. Many studies have made various improvements in order to make the detection technology more practical in sample detection. This article reviews recent methods for the detection of Shigella, including improved traditional methods, immunological methods, molecular biology methods, as well as new and emerging detection methods. The application scope and progress of these methods are highlighted to provide a reference for the selection of detection methods for Shigella.
- Shigella,
- detection technology,
- research progress,
- food

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References (58)

References

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