Development and qualification of a scale-down model of a commercial mammalian cell culture bioreactor using Computational Fluid Dynamics
May 6-11, 2018
The use of computational fluid dynamics (CFD) techniques can be used to develop and/or optimize a scale-down model to investigate mixing, oxygen mass transfer characteristics and turbulence, strain rate, and bubble size distribution in laboratory-scale stirred-tank bioreactors. In this work, CFD was used to test and modify a laboratory-scale bioreactor model of a manufacturing-scale bioreactor. The laboratory-scale model was originally established based on power per volume (P/V) and volume of gas per bioreactor volume per minute (vvm). CFD simulations of mixing time, power input, and gas volume hold-up were performed to demonstrate comparability between the laboratory-scale model and the manufacturing-scale bioreactor. These simulations were verified with experimental measurement of mixing time and gas hold-up. The results were used to propose sparge rate and impeller agitation as factors in a Design of Experiments (DoE) study in laboratory-scale bioreactors. The impact of sparge rate and impeller agitation on cell growth, productivity, and product quality attributes were evaluated in the DOE study. The laboratory-scale production bioreactor model was compared to the manufacturing-scale production bioreactor. The results confirmed that CFD techniques could be used to establish sparge rate and impeller agitation to improve a scale-down model.
Brianna Biscardi, Angela Au, Matthew Vetere, Steven Kechichian, Johnny Nolan, Mandar Makwana, Arash Abedijaberi, and Parviz Shamlou, "Development and qualification of a scale-down model of a commercial mammalian cell culture bioreactor using Computational Fluid Dynamics" in "Cell Culture Engineering XVI", A. Robinson, PhD, Tulane University R. Venkat, PhD, MedImmune E. Schaefer, ScD, J&J Janssen Eds, ECI Symposium Series, (2018). http://dc.engconfintl.org/ccexvi/32