Mathematical models of predictive microbiology: potential application in seafood industries

Document Type : scientific research article

Author

International Sturgeon Research Institute, Agricultural Research, Education and Extension Organization (AREEO), Rasht, Iran

10.22069/japu.2023.21815.1826

Abstract

Predictive microbiology is the research field of food microbiologists who try to predict microorganism’s behavior in the food matrix with employing mathematical models. The predictive food microbiology is a diverse research field with various concepts and applications. Predictive microbiology can be considered as a scientific branch of food microbiology that tries to quantify the behavior of microbes in the food environment. This quantitative evaluation can be done in the form of a mathematical equation. A mathematical model is a description of a real system using mathematical equations. The use of predictive microbiology models has a long history in the fisheries and canning industries. In this regard, describing the kinetics of bacterial death with the help of heat and removing Clostridium botulinum is one of the common functions of these models. Although the first predictive models were presented in the 20th century, the great development of this research field has mainly been occurred in the last decades with the emergence of computer software. Various prediction models are able to predict the growth, inactivation and growth probability of bacteria in food under diverse environmental conditions. In this study, three main categories of predictive models (primary, secondary, and tertiary models) are introduced, and the software used in this field is also explained.

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Journal of Utilization and Cultivation of Aquatics
Volume 13, Issue 1
April 2024
Pages 19-30

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