Literature DB >> 11005920

Studies related to the scale-up of high-cell-density E. coli fed-batch fermentations using multiparameter flow cytometry: effect of a changing microenvironment with respect to glucose and dissolved oxygen concentration.

C J Hewitt1, G Nebe-Von Caron, B Axelsson, C M McFarlane, A W Nienow.   

Abstract

Multiparameter flow cytometric techniques developed in our laboratories have been used for the "at-line" study of fed-batch bacterial fermentations. These fermentations were done at two scales, production (20 m(3)) and bench (5 x 10(-3) m(3)). In addition, at the bench scale, experiments were undertaken where the difficulty of achieving good mixing (broth homogeneity), similar to that found at the production scale, was simulated by using a two-compartment model. Flow cytometric analysis of cells in broth samples, based on a dual-staining protocol, has revealed, for the first time, that a progressive change in cell physiological state generally occurs throughout the course of such fermentations. The technique has demonstrated that a changing microenvironment with respect to substrate concentration (glucose and dissolved oxygen tension [DOT]) has a profound effect on cell physiology and hence on viable biomass yield. The relatively poorly mixed conditions in the large-scale fermentor were found to lead to a low biomass yield, but, surprisingly, were associated with a high cell viability (with respect to cytoplasmic membrane permeability) throughout the fermentation. The small-scale fermentation that most clearly mimicked the large-scale heterogeneity (i.e., a region of high glucose concentration and low DOT analogous to a feed zone) gave similar results. On the other hand, the small-scale well-mixed fermentation gave the highest biomass yield, but again, surprisingly, the lowest cell viability. The scaled-down simulations with high DOT throughout and locally low or high glucose gave biomass and viabilities between. Reasons for these results are examined in terms of environmental stress associated with an ever-increasing glucose limitation in the well-mixed case. On the other hand, at the large scale, and to differing degrees in scale-down simulations, cells periodically encounter regions of relatively higher glucose concentration. Copyright 2000 John Wiley & Sons, Inc.

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Year:  2000        PMID: 11005920

Source DB:  PubMed          Journal:  Biotechnol Bioeng        ISSN: 0006-3592            Impact factor:   4.530


  13 in total

1.  The application of multi-parameter flow cytometry to the study of recombinant Escherichia coli batch fermentation processes.

Authors:  Gareth Lewis; Ian W Taylor; Alvin W Nienow; Christopher J Hewitt
Journal:  J Ind Microbiol Biotechnol       Date:  2004-07-13       Impact factor: 3.346

Review 2.  Living with heterogeneities in bioreactors: understanding the effects of environmental gradients on cells.

Authors:  Alvaro R Lara; Enrique Galindo; Octavio T Ramírez; Laura A Palomares
Journal:  Mol Biotechnol       Date:  2006-11       Impact factor: 2.695

3.  Global transcription and metabolic flux analysis of Escherichia coli in glucose-limited fed-batch cultivations.

Authors:  K Lemuth; T Hardiman; S Winter; D Pfeiffer; M A Keller; S Lange; M Reuss; R D Schmid; M Siemann-Herzberg
Journal:  Appl Environ Microbiol       Date:  2008-09-19       Impact factor: 4.792

4.  Potential of Integrating Model-Based Design of Experiments Approaches and Process Analytical Technologies for Bioprocess Scale-Down.

Authors:  Peter Neubauer; Emmanuel Anane; Stefan Junne; Mariano Nicolas Cruz Bournazou
Journal:  Adv Biochem Eng Biotechnol       Date:  2021       Impact factor: 2.635

5.  NADH availability limits asymmetric biocatalytic epoxidation in a growing recombinant Escherichia coli strain.

Authors:  Bruno Bühler; Jin-Byung Park; Lars M Blank; Andreas Schmid
Journal:  Appl Environ Microbiol       Date:  2008-01-11       Impact factor: 4.792

6.  Euler-Lagrangian Simulations: A Proper Tool for Predicting Cellular Performance in Industrial Scale Bioreactors.

Authors:  Christopher Sarkizi Shams Hajian; Julia Zieringer; Ralf Takors
Journal:  Adv Biochem Eng Biotechnol       Date:  2021       Impact factor: 2.635

7.  Single cell analysis applied to antibody fragment production with Bacillus megaterium: development of advanced physiology and bioprocess state estimation tools.

Authors:  Florian David; Antje Berger; Robert Hänsch; Manfred Rohde; Ezequiel Franco-Lara
Journal:  Microb Cell Fact       Date:  2011-04-15       Impact factor: 5.328

8.  Physiological heterogeneities in microbial populations and implications for physical stress tolerance.

Authors:  Magnus Carlquist; Rita Lencastre Fernandes; Søren Helmark; Anna-Lena Heins; Luisa Lundin; Søren J Sørensen; Krist V Gernaey; Anna Eliasson Lantz
Journal:  Microb Cell Fact       Date:  2012-07-16       Impact factor: 5.328

9.  Bioreactor mixing efficiency modulates the activity of a prpoS::GFP reporter gene in E. coli.

Authors:  Frank Delvigne; Mathieu Boxus; Sophie Ingels; Philippe Thonart
Journal:  Microb Cell Fact       Date:  2009-02-25       Impact factor: 5.328

10.  Exometabolome analysis reveals hypoxia at the up-scaling of a Saccharomyces cerevisiae high-cell density fed-batch biopharmaceutical process.

Authors:  Zhibiao Fu; Thomas D Verderame; Julie M Leighton; Brante P Sampey; Edward R Appelbaum; Pramatesh S Patel; Juan C Aon
Journal:  Microb Cell Fact       Date:  2014-03-05       Impact factor: 5.328

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