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Fig. 4 Four exemplary jump diffusion models of microbial migration vs. mutation across a 3D lattice.
The most recent mathematical models of microbial activity in heterogeneous biofilms are based on cellular automata.
Genome-scale models of microbial metabolism are increasingly being used in biological discovery and metabolic engineering.
Mathematical models of microbial communities could be of great value in the rational design of microbiota-tailoring diets and therapies.
This matrix is subsequently employed in the procedure for discriminating between two possible models of microbial growth rate as a function of temperature.
Risk assessment for food spoilage relies on probabilistic models of microbial growth to predict the likelihood that microbial populations will exceed predefined spoilage levels.
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Our aim in this paper is to build a cheaper surrogate of an individual-based (IB) model simulation of microbial communities.
The new architecture is based on two existing models: WASABI and a model of Microbial Fuel Cell technology.
However, it has become apparent that, according to the thermodynamic model of microbial adhesion, hydrophobic materials are preferentially colonized by hydrophobic bacteria and vice versa [39, 44, 47 49].
A mathematical model of microbial growth on a single limited substrate in batch culture is proposed as an extension of the Monod's one.
The combination of high hydrostatic pressure with mild temperature was explored to achieve a predictive model of microbial inactivation in food matrix processing.
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