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Individual-based modelling (IbM) in food microbiology: A comprehensive guideline
Jian Wang1, Ihab Hashem1, Satyajeet Bhonsale1
1BioTeC+, Chemical and Biochemical Process Technology and Control, Department of Chemical Engineering, KU Leuven, Ghent, Belgium.
Individual-based modeling (IbM) offers insights into food microbial ecosystems. This guideline simplifies IbM for food microbiology, presenting a 5D protocol and case study for practical application.
Area of Science:
- Food Microbiology
- Computational Biology
- Microbial Ecology
Background:
- Individual-based modeling (IbM) is a powerful tool for understanding microbial ecosystems.
- Existing perceptions highlight challenges in scalability, computational efficiency, and integration for food microbiology applications.
- Demystifying IbM is crucial for its broader adoption in food science.
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