Advances on application of predictive microbiology in Shelf Life of Aquatic Products

Authors

SHEN Yong, Shanghai Aquatic Products Processing and Storage Engineering Technology Research Center, Shanghai 201306, China; Shanghai Professional Technology Service Platform on Cold Chain Equipment Performance and Energy Saving Evaluation, Shanghai 201306, China; National Experimental Teaching Demonstration Center for Food Science and Engineering ﹝Shanghai Ocean University﹞, Shanghai 201306, China; Shanghai Ocean University College of Food Science and Technology, Shanghai 201306, China
MEI Jun, Shanghai Aquatic Products Processing and Storage Engineering Technology Research Center, Shanghai 201306, China; Shanghai Professional Technology Service Platform on Cold Chain Equipment Performance and Energy Saving Evaluation, Shanghai 201306, China; National Experimental Teaching Demonstration Center for Food Science and Engineering ﹝Shanghai Ocean University﹞, Shanghai 201306, China; Shanghai Ocean University College of Food Science and Technology, Shanghai 201306, China
XIE Jing, Shanghai Aquatic Products Processing and Storage Engineering Technology Research Center, Shanghai 201306, China; Shanghai Professional Technology Service Platform on Cold Chain Equipment Performance and Energy Saving Evaluation, Shanghai 201306, China; National Experimental Teaching Demonstration Center for Food Science and Engineering ﹝Shanghai Ocean University﹞, Shanghai 201306, China; Shanghai Ocean University College of Food Science and Technology, Shanghai 201306, China

Abstract

Aquatic products is easily deteriorated，and microorganism is the main factor that leads to the deterioration. Predictive microbiology can predict the growth of spoilage organisms in aquatic products by building mathematical models, which help us predict the shelf-life of aquatic products. This paper briefly describes the meaning of predictive microbiology primary model, secondary model and tertiary model, enumerates the applications of predictive microbiology in shelf-life, and discuss the problems of predictive microbiology in the shelf-life prediction, and its application prospect is also proposed.

Publication Date

1-28-2019

First Page

221

Last Page

225

DOI

10.13652/j.issn.1003-5788.2019.01.039

Recommended Citation

Yong, SHEN; Jun, MEI; and Jing, XIE (2019) "Advances on application of predictive microbiology in Shelf Life of Aquatic Products," Food and Machinery: Vol. 35: Iss. 1, Article 39.
DOI: 10.13652/j.issn.1003-5788.2019.01.039
Available at: https://www.ifoodmm.cn/journal/vol35/iss1/39

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