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- W2524121483 abstract "Hitherto, classical food processing techniques focus on (microbial) safety issues, whereas modern consumers demand for an optimal trade-off between the microbial safety and quality levels of food products. In this respect, the scientific discipline of predictive microbiology gains worldwide more and more interest. Predictive microbiology combines microbiological and mathematical techniques in order to develop accurate models for the prediction of microbial evolution in foods. Research in this area focuses on both theoretical aspects and practical implementation issues. This paper presents an overview and evaluation of the various modelling approaches reported thus far, including their potential in industrial practice. Starting from a general expression for microbial evolution, available models are discussed and novel modelling concepts are introduced. A second part deals with accurate and fast parameter estimation procedures, making use of techniques of Optimal Experimental Design. Finally, some examples of software tools, in which predictive models are implemented, are discussed. From an industrial point of view, these are very useful in the context of a microbial risk analysis in the framework of HACCP studies." @default.
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- W2524121483 date "2000-01-01" @default.
- W2524121483 modified "2023-09-22" @default.
- W2524121483 title "Predicting microbial evolution in foods: General aspects of modelling approaches and practical implementation" @default.
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