Jonas Bisgaard, James A Zahn, Tannaz Tajsoleiman, Tue Rasmussen, Jakob K Huusom, Krist V Gernaey
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引用次数: 1
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.
期刊介绍:
The Journal of Industrial Microbiology and Biotechnology is an international journal which publishes papers describing original research, short communications, and critical reviews in the fields of biotechnology, fermentation and cell culture, biocatalysis, environmental microbiology, natural products discovery and biosynthesis, marine natural products, metabolic engineering, genomics, bioinformatics, food microbiology, and other areas of applied microbiology