An in-silico analysis of hydrodynamics and gas mass transfer characteristics in scale-down models for mammalian cell cultures.

CHO Cells Computational Fluid Dynamics (CFD) Scale-Down Scale-Up Single-Use Bioreactor kLa

Journal

Journal of biotechnology
ISSN: 1873-4863
Titre abrégé: J Biotechnol
Pays: Netherlands
ID NLM: 8411927

Informations de publication

Date de publication:
18 Apr 2024
Historique:
received: 06 11 2023
revised: 01 03 2024
accepted: 17 04 2024
medline: 21 4 2024
pubmed: 21 4 2024
entrez: 20 4 2024
Statut: aheadofprint

Résumé

Bioprocess scale-up and technology transfer can be challenging due to multiple variables that need to be optimized during process development from laboratory scale to commercial manufacturing. Cell cultures are highly sensitive to key factors during process transfer across scales, including geometric variability in bioreactors, shear stress from impeller and sparging activity, and nutrient gradients that occur due to increasing blend times. To improve the scale-up and scale-down of these processes, it is important to fully characterize bioreactors to better understand the differences that will occur within the culture environment, especially the hydrodynamic profiles that will vary in vessel designs across scales. In this study, a comprehensive hydrodynamic characterization of the Ambr® 250 mammalian single-use bioreactor was performed using time-accurate computational fluid dynamics simulations conducted with M-Star computational fluid dynamics software, which employs lattice-Boltzmann techniques to solve the Navier-Stokes transport equations at a mesoscopic scale. The single-phase and two-phase fluid properties within this small-scale vessel were analyzed in the context of agitation hydrodynamics and mass transfer (both within the bulk fluid and the free surface) to effectively characterize and understand the differences that scale-down models possess when compared to their large-scale counterparts. The model results validate the use of computational fluid dynamics as an in-silico tool to characterize bioreactor hydrodynamics and additionally identify important free-surface transfer mechanics that need to be considered during the qualification of a scale-down model in the development of mammalian bioprocesses.

Identifiants

pubmed: 38642816
pii: S0168-1656(24)00112-3
doi: 10.1016/j.jbiotec.2024.04.013
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024. Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Alaina Anand (A)

Bioprocess Research and Development, Pfizer, Andover, MA, 01810.

Madelynn McCahill (M)

Manufacturing Sciences and Technology, Global Technology and Engineering, Pfizer, Andover, MA, 01810; Manufacturing Intelligence, Global Technology and Engineering, Pfizer, Andover, MA.

John Thomas (J)

M-Star Simulations. 11000 Baltimore National Pike, Ellicott City, MD 21042.

Aishwarya Sood (A)

Manufacturing Sciences and Technology, Global Technology and Engineering, Pfizer, Andover, MA, 01810.

Jonathan Kinross (J)

Manufacturing Sciences and Technology, Global Technology and Engineering, Pfizer, Andover, MA, 01810.

Aparajita Dasgupta (A)

Manufacturing Sciences and Technology, Global Technology and Engineering, Pfizer, Andover, MA, 01810. Electronic address: aparajita.dasgupta@pfizer.com.

Aravindan Rajendran (A)

Manufacturing Sciences and Technology, Global Technology and Engineering, Pfizer, Andover, MA, 01810. Electronic address: aravindan.rajendran@pfizer.com.

Classifications MeSH