Review of Secondary Mathematical Models of Predictive Microbiology |
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| Authors: | Hao Li Guozhong Xie Alan S Edmondson |
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| Institution: | 1. School of Health and Human Sciences, Faculty of Health , Leeds Metropolitan University , H.Li@leedsmet.ac.uk;3. Center for Retailing and Hospitality Management, Leslie Silver International Faculty , Leeds Metropolitan University ,;4. Center for Retailing and Hospitality Management, Lesli Silver International Faculty , Leeds Metropolitan University , |
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| Abstract: | ABSTRACT Predictive microbiology has been developed utilizing accurate and versatile mathematical models to predict microbial behavior during food processing instead of using traditional microbiological methods. Generally, mathematical models are classified into three types: primary, secondary, and tertiary models. Secondary model deals with the response of parameters appearing in primary modeling approaches as functions of one or more environmental conditions like temperature, pH, etc. Most of them have little or no microbiological basis, which makes interpretation of some model parameters difficult and sometimes their performance is not stable. This paper reviews the performance and development of secondary models and discusses their strengths and weaknesses, which may help future model development and application. |
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| Keywords: | Predictive microbiology secondary model |
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