caa a22 4500 605505489 CHVBK 20210128100622.0 cr unu---uuuuu 210128e20151101xx s 000 0 eng 10.1007/s00253-015-6877-6 doi (NATIONALLICENCE)springer-10.1007/s00253-015-6877-6 Modeling microbial growth and dynamics [Elektronische Daten] [Daniel Esser, Johan Leveau, Katrin Meyer] 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. Springer-Verlag Berlin Heidelberg, 2015 Model nationallicence Bacteria nationallicence Predictive microbiology nationallicence Wastewater nationallicence Food safety nationallicence Esser Daniel Department of Ecosystem Modelling, University of Göttingen, Büsgenweg 4, 37077, Göttingen, Germany aut Leveau Johan Department of Plant Pathology, University of California, 95616-8751, Davis, CA, USA aut Meyer Katrin Department of Ecosystem Modelling, University of Göttingen, Büsgenweg 4, 37077, Göttingen, Germany aut Applied Microbiology and Biotechnology Springer Berlin Heidelberg 99/21(2015-11-01), 8831-8846 0175-7598 99:21<8831 2015 99 253 https://doi.org/10.1007/s00253-015-6877-6 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 review-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00253-015-6877-6 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Esser Daniel Department of Ecosystem Modelling, University of Göttingen, Büsgenweg 4, 37077, Göttingen, Germany aut NATIONALLICENCE 700 1- Leveau Johan Department of Plant Pathology, University of California, 95616-8751, Davis, CA, USA aut NATIONALLICENCE 700 1- Meyer Katrin Department of Ecosystem Modelling, University of Göttingen, Büsgenweg 4, 37077, Göttingen, Germany aut NATIONALLICENCE 773 0- Applied Microbiology and Biotechnology Springer Berlin Heidelberg 99/21(2015-11-01), 8831-8846 0175-7598 99:21<8831 2015 99 253