Bioseparations and Downstream Processing
Automated methods for accurate determination of the critical velocity of packed bed chromatography
Article first published online: 2 MAY 2012
DOI: 10.1002/btpr.1544
Copyright © 2012 American Institute of Chemical Engineers (AIChE)
Additional Information
How to Cite
Chang, Y.-C., Gerontas, S. and Titchener-Hooker, N. J. (2012), Automated methods for accurate determination of the critical velocity of packed bed chromatography. Biotechnol Progress, 28: 740–745. doi: 10.1002/btpr.1544
Publication History
- Issue published online: 9 JUN 2012
- Article first published online: 2 MAY 2012
- Accepted manuscript online: 29 MAR 2012 06:38AM EST
- Manuscript Revised: 18 MAR 2012
- Manuscript Received: 16 NOV 2011
Funded by
- Innovative Manufacturing Research Centre (IMRC)
- Engineering and Physical Sciences Research Council (EPSRC)
- The IMRC is part of The Advanced Centre for Biochemical Engineering, University College London
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Keywords:
- critical velocity (ucrit);
- compressible matrix;
- packed bed chromatography
Abstract
Knowing the critical velocity (ucrit) of a chromatography column is an important part of process development as it allows the optimization of chromatographic flow conditions. The conventional flow step method for determining ucrit is prone to error as it depends heavily on human judgment. In this study, two automated methods for determining ucrit have been developed: the automatic flow step (AFS) method and the automatic pressure step (APS) method. In the AFS method, the column pressure drop is monitored upon application of automated incremental increases in flow velocity, whereas in the APS method the flow velocity is monitored upon application of automated incremental increases in pressure drop. The APS method emerged as the one with the higher levels of accuracy, efficiency and ease of application having the greater potential to assist defining the best operational parameters of a chromatography column. © 2012 American Institute of Chemical Engineers Biotechnol. Prog., 2012

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