LAPSE:2018.0374
Published Article
LAPSE:2018.0374
A Framework for the Development of Integrated and Computationally Feasible Models of Large-Scale Mammalian Cell Bioreactors
Parham Farzan, Marianthi G. Ierapetritou
July 31, 2018
Industrialization of bioreactors has been achieved by applying several core concepts of science and engineering. Modeling has deepened the understanding of biological and physical phenomena. In this paper, the state of existing cell culture models is summarized. A framework for development of dynamic and computationally feasible models that capture the interactions of hydrodynamics and cellular activities is proposed. Operating conditions are described by impeller rotation speed, gas sparging flowrate, and liquid fill level. A set of admissible operating states is defined over discretized process parameters. The burden on a dynamic solver is reduced by assuming hydrodynamics at its fully developed state and implementation of compartmental modeling. A change in the conditions of operation is followed by hydrodynamics switching instantaneously to the steady state that would be reached under new conditions. Finally, coupling the model with optimization solvers leads to improvements in operation.
Keywords
bioreactor integrated modeling, bioreactor operation optimization, CFD simulation, compartmental modeling, reduced-order model
Suggested Citation
Farzan P, Ierapetritou MG. A Framework for the Development of Integrated and Computationally Feasible Models of Large-Scale Mammalian Cell Bioreactors. (2018). LAPSE:2018.0374
Author Affiliations
Farzan P: Department of Chemical and Biochemical Engineering, Rutgers, The State University of New Jersey, 98 Brett Road, Piscataway, NJ 08854, USA
Ierapetritou MG: Department of Chemical and Biochemical Engineering, Rutgers, The State University of New Jersey, 98 Brett Road, Piscataway, NJ 08854, USA
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Journal Name
Processes
Volume
6
Issue
7
Article Number
E82
Year
2018
Publication Date
2018-06-29
Published Version
ISSN
2227-9717
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PII: pr6070082, Publication Type: Journal Article
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LAPSE:2018.0374
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doi:10.3390/pr6070082
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Jul 31, 2018
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