부산대학교 도서관

A review of growth models in predictive microbiology to ensure food safety. Predictive microbiology aims to predict the evolution of microorganisms in foods using mathematical models. Several models have been published and the complexity of some of them makes their use difficult for the uninitiated. However, the use of this discipline will become widespread in coming years. These models provide, for example, additional tools to ensure the microbiological safety of food, to establish the contamination flow in a food chain, and to develop and assist existing quality assurance systems. The development of new computer software and database will enable stakeholders in the food chain to have better control of microbiological hazards. The aim of this review is to give an overview of existing models of predictive microbiology and their applications. A first approach of the primary, secondary and tertiary models is given. The modeling of latency, integrated models and growth tests are also discussed.