李斯特菌生长预测模型的研究进展

doi:10.19640/j.cnki.jtau.2018.03.020

Journal of Tianjin Agricultural University ›› 2018, Vol. 25 ›› Issue (3): 92-95.doi: 10.19640/j.cnki.jtau.2018.03.020

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Research progress in predictive models for Listeria growth

LIU Shan-na^1,2

1. College of Food Science and Bioengineering, Tianjin Agricultural University, Tianjin 300384, China;
2. Tianjin Engineering and Technology Research Center of Agricultural Products Processing, Tianjin 300384, China

Received:2018-02-26 Online:2018-09-20 Published:2019-11-12

Abstract

Abstract: Listeria monocytogenes is an important food-borne pathogen which may contaminate many types of food and impair food safety. Research methods of predictive food microbiology can be used for building growth kinetic models, which may assess microbial risk and predict food shelf life. This article introduced growth characteristics of L. monocytogenes. The classification of primary, secondary and tertiary models of predictive food microbiology were briefly reviewed. Applications of L. monocytogenes growth kinetic models in culture medium and different foods were summarized.

Key words: Listeria, growth model, predictive food microbiology

CLC Number:

Q939.99

LIU Shan-na. Research progress in predictive models for Listeria growth[J]. Journal of Tianjin Agricultural University, 2018, 25(3): 92-95.

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Research progress in predictive models for Listeria growth

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