NDLI: Modeling microbial growth and dynamics

Content Provider	Springer Nature Link
Author	Esser, Daniel S. Leveau, Johan H. J. Meyer, Katrin M.
Copyright Year	2015
Abstract	Modeling has become an important tool for widening our understanding of microbial growth in the context of applied microbiology and related to such processes as safe food production, wastewater treatment, bioremediation, or microbe-mediated mining. Various modeling techniques, such as primary, secondary and tertiary mathematical models, phenomenological models, mechanistic or kinetic models, reactive transport models, Bayesian network models, artificial neural networks, as well as agent-, individual-, and particle-based models have been applied to model microbial growth and activity in many applied fields. In this mini-review, we summarize the basic concepts of these models using examples and applications from food safety and wastewater treatment systems. We further review recent developments in other applied fields focusing on models that explicitly include spatial relationships. Using these examples, we point out the conceptual similarities across fields of application and encourage the combined use of different modeling techniques in hybrid models as well as their cross-disciplinary exchange. For instance, pattern-oriented modeling has its origin in ecology but may be employed to parameterize microbial growth models when experimental data are scarce. Models could also be used as virtual laboratories to optimize experimental design analogous to the virtual ecologist approach. Future microbial growth models will likely become more complex to benefit from the rich toolbox that is now available to microbial growth modelers.
Starting Page	8831
Ending Page	8846
Page Count	16
File Format	PDF
ISSN	01757598
Journal	Applied Microbiology and Biotechnology
Volume Number	99
Issue Number	21
e-ISSN	14320614
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2015-08-23
Publisher Place	Berlin, Heidelberg
Access Restriction	Subscribed
Subject Keyword	Model Bacteria Predictive microbiology Wastewater Food safety Microbiology Microbial Genetics and Genomics Biotechnology
Content Type	Text
Resource Type	Article
Subject	Medicine Applied Microbiology and Biotechnology Biotechnology

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