ArticleJournal of industrial microbiology & biotechnology2022
Data-based dynamic compartment model: Modeling of E. coli fed-batch fermentation in a 600 m3 bubble column.
Article in Journal of industrial microbiology & biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Simulating large-scale biotech bubble columns: challenges and insights from the parcel approach.Bioprocess and biosystems engineering · 2026Article
- Enhancement of Menaquinone-7 production in Bacillus subtilis by optimizing the medium components through response surface methodology.Bioresources and bioprocessing · 2025Article
- Single Cell Protein Production From Ethanol: Model-Based Bioreactor Operation at Industrial Scale.Biotechnology and bioengineering · 2025Article
- Real Case Study of 600 mBiotechnology and bioengineering · 2025Article
- Food for Thoughts for Prospective Biomanufacturing.Microbial biotechnology · 2025Article
- An Automatic Method for Generation of CFD-Based 3D Compartment Models: Towards Real-Time Mixing Simulations.Bioengineering (Basel, Switzerland) · 2024Article
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Authors and funding
6 authors.
Funding
Abstract
Mathematical modeling is a powerful and inexpensive approach to provide a quantitative basis for improvements that minimize the negative effects of bioreactor heterogeneity. For a model to accurately represent a heterogeneous system, a flow model that describes how mass is channeled between different zones of the bioreactor volume is necessary. In this study, a previously developed compartment model approach based on data from flow-following sensor devices was further developed to account for dynamic changes in volume and flow rates and thus enabling simulation of the widely used fed-batch process. The application of the dynamic compartment model was demonstrated in a study of an industrial fermentation process in a 600 m3 bubble column bioreactor. The flow model was used to evaluate the mixing performance by means of tracer simulations and was coupled with reaction kinetics to simulate concentration gradients in the process. The simulations showed that despite the presence of long mixing times and significant substrate gradients early in the process, improving the heterogeneity did not lead to overall improvements in the process. Improvements could, however, be achieved by modifying the dextrose feeding profile.
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Registered trials
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