Application of mechanistic modelling in membrane and fiber chromatography for purification of biotherapeutics - A review.

Autor: Qu Y; Department of Chemical Engineering, University of Melbourne, Melbourne, Victoria 3010, Australia., Baker I; Cell Culture and Purification Development, CSL Innovation, Melbourne, Victoria 3000, Australia., Black J; Cell Culture and Purification Development, CSL Innovation, Melbourne, Victoria 3000, Australia., Fabri L; Cell Culture and Purification Development, CSL Innovation, Melbourne, Victoria 3000, Australia., Gras SL; Department of Chemical Engineering, University of Melbourne, Melbourne, Victoria 3010, Australia; Bio21 Institute of Molecular Science and Biotechnology, Melbourne, Victoria 3052, Australia., Lenhoff AM; Department of Chemical and Biomolecular Engineering, University of Delaware, Newark, Delaware 19716, USA., Kentish SE; Department of Chemical Engineering, University of Melbourne, Melbourne, Victoria 3010, Australia. Electronic address: sandraek@unimelb.edu.au.
Jazyk: angličtina
Zdroj: Journal of chromatography. A [J Chromatogr A] 2024 Feb 08; Vol. 1716, pp. 464588. Date of Electronic Publication: 2024 Jan 02.
DOI: 10.1016/j.chroma.2023.464588
Abstrakt: Mechanistic modelling is a simulation tool which has been effectively applied in downstream bioprocessing to model resin chromatography. Membrane and fiber chromatography are newer approaches that offer higher rates of mass transfer and consequently higher flow rates and reduced processing times. This review describes the key considerations in the development of mechanistic models for these unit operations. Mass transfer is less complex than in resin columns, but internal housing volumes can make modelling difficult, particularly for laboratory-scale devices. Flow paths are often non-linear and the dead volume is often a larger fraction of the overall volume, which may require more complex hydrodynamic models to capture residence time distributions accurately. In this respect, the combination of computational fluid dynamics with appropriate protein binding models is emerging as an ideal approach.
Competing Interests: Declaration of competing interest The authors declare that they have no conflicts of interest.
(Copyright © 2023. Published by Elsevier B.V.)
Databáze: MEDLINE
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