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- W2613790045 abstract "Abstract In the field of predictive microbiology, mathematical models are developed to describe and predict the behaviour and possible outgrowth of spoilage and/or pathogenic microorganisms in food products. Research has mostly focused on the development of macroscopic models, which have a number of inherent disadvantages. This paper adopts the methodology of individual-based modelling (IbM) as a complement to macroscopic models to overcome some of these issues. In addition, this paper exploits a new bacterial growth model to circumvent shortcomings of established logistic type models. The new model incorporates substrate limitation and metabolite inhibition factors, providing it with a more solid mechanistic base for modelling the stationary phase. A case study is presented implementing the model in an IbM framework and exploratory results are presented" @default.
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- W2613790045 date "2004-03-01" @default.
- W2613790045 modified "2023-09-26" @default.
- W2613790045 title "A Novel Class of Predictive Microbial Grown Models: Implementation in an Individual-Based Framework" @default.
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- W2613790045 doi "https://doi.org/10.1016/s1474-6670(17)32580-6" @default.
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