Development of a restricted state space stochastic differential equation model for bacterial growth in rich media

Journal of Theoretical Biology
Jan Kloppenborg MøllerH Madsen

Abstract

In the present study, bacterial growth in a rich media is analysed in a Stochastic Differential Equation (SDE) framework. It is demonstrated that the SDE formulation and smoothened state estimates provide a systematic framework for data driven model improvements, using random walk hidden states. Bacterial growth is limited by the available substrate and the inclusion of diffusion must obey this natural restriction. By inclusion of a modified logistic diffusion term it is possible to introduce a diffusion term flexible enough to capture both the growth phase and the stationary phase, while concentration is restricted to the natural state space (substrate and bacteria non-negative). The case considered is the growth of Salmonella and Enterococcus in a rich media. It is found that a hidden state is necessary to capture the lag phase of growth, and that a flexible logistic diffusion term is needed to capture the random behaviour of the growth model. Further, it is concluded that the Monod effect is not needed to capture the dynamics of bacterial growth in the data presented.

References

Jan 27, 2005·Journal of Pharmacokinetics and Pharmacodynamics·Christoffer W TornøeHenrik Madsen

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Citations

Jan 15, 2014·Environmental Science & Technology·Xiaoyang MengXiaoguang Meng
Jun 15, 2014·Applied and Environmental Microbiology·Antonio A AlonsoConstantinos Theodoropoulos

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