Literature DB >> 14566553

Performance prediction of industrial centrifuges using scale-down models.

M Boychyn1, S S S Yim, M Bulmer, J More, D G Bracewell, M Hoare.   

Abstract

Computational fluid dynamics was used to model the high flow forces found in the feed zone of a multichamber-bowl centrifuge and reproduce these in a small, high-speed rotating disc device. Linking the device to scale-down centrifugation, permitted good estimation of the performance of various continuous-flow centrifuges (disc stack, multichamber bowl, CARR Powerfuge) for shear-sensitive protein precipitates. Critically, the ultra scale-down centrifugation process proved to be a much more accurate predictor of production multichamber-bowl performance than was the pilot centrifuge.

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Year:  2003        PMID: 14566553     DOI: 10.1007/s00449-003-0328-y

Source DB:  PubMed          Journal:  Bioprocess Biosyst Eng        ISSN: 1615-7591            Impact factor:   3.210


  11 in total

1.  The potential of hydrodynamic damage to animal cells of industrial relevance: current understanding.

Authors:  Weiwei Hu; Claudia Berdugo; Jeffrey J Chalmers
Journal:  Cytotechnology       Date:  2011-07-22       Impact factor: 2.058

2.  Representative mammalian cell culture test materials for assessment of primary recovery technologies: a rapid method with industrial applicability.

Authors:  Daria Popova; Adam Stonier; David Pain; Nigel J Titchener-Hooker; Suzanne S Farid
Journal:  Biotechnol J       Date:  2015-01       Impact factor: 4.677

3.  A scale-down mimic for mapping the process performance of centrifugation, depth and sterile filtration.

Authors:  Adrian Joseph; Brian Kenty; Michael Mollet; Kenneth Hwang; Steven Rose; Stephen Goldrick; Jean Bender; Suzanne S Farid; Nigel Titchener-Hooker
Journal:  Biotechnol Bioeng       Date:  2016-03-16       Impact factor: 4.530

4.  Evaluation of options for harvest of a recombinant E. Coli fermentation producing a domain antibody using ultra scale-down techniques and pilot-scale verification.

Authors:  Ioannis Voulgaris; Alex Chatel; Mike Hoare; Gary Finka; Mark Uden
Journal:  Biotechnol Prog       Date:  2016-01-12

5.  Efficient soluble expression of disulfide bonded proteins in the cytoplasm of Escherichia coli in fed-batch fermentations on chemically defined minimal media.

Authors:  Anna Gąciarz; Narendar Kumar Khatri; M Lourdes Velez-Suberbie; Mirva J Saaranen; Yuko Uchida; Eli Keshavarz-Moore; Lloyd W Ruddock
Journal:  Microb Cell Fact       Date:  2017-06-15       Impact factor: 5.328

6.  High throughput automated microbial bioreactor system used for clone selection and rapid scale-down process optimization.

Authors:  M Lourdes Velez-Suberbie; John P J Betts; Kelly L Walker; Colin Robinson; Barney Zoro; Eli Keshavarz-Moore
Journal:  Biotechnol Prog       Date:  2017-08-10

7.  Differential response in downstream processing of CHO cells grown under mild hypothermic conditions.

Authors:  Andrew S Tait; Richard D R Tarrant; M Lourdes Velez-Suberbie; Daniel I R Spencer; Daniel G Bracewell
Journal:  Biotechnol Prog       Date:  2013-05-02

8.  Ultra scale-down characterization of the impact of conditioning methods for harvested cell broths on clarification by continuous centrifugation-Recovery of domain antibodies from rec E. coli.

Authors:  Alex Chatel; Peter Kumpalume; Mike Hoare
Journal:  Biotechnol Bioeng       Date:  2013-12-28       Impact factor: 4.530

9.  Integration of host strain bioengineering and bioprocess development using ultra-scale down studies to select the optimum combination: an antibody fragment primary recovery case study.

Authors:  Jean P Aucamp; Richard Davies; Damien Hallet; Amanda Weiss; Nigel J Titchener-Hooker
Journal:  Biotechnol Bioeng       Date:  2014-06-04       Impact factor: 4.530

10.  Integrated economic and experimental framework for screening of primary recovery technologies for high cell density CHO cultures.

Authors:  Daria Popova; Adam Stonier; David Pain; Nigel J Titchener-Hooker; Suzanne S Farid
Journal:  Biotechnol J       Date:  2016-05-09       Impact factor: 4.677

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