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BMC Proceedings

Open Access

Decision tree for selection of suitable cultivation parameters for mammalian cell culture processes

BMC Proceedings20159(Suppl 9):P45

https://doi.org/10.1186/1753-6561-9-S9-P45

Published: 14 December 2015

Background

Development of bioprocesses for mammalian cells has to deal with different bioreactor types and scales. Bio-reactors might be intended for seed train and production, research, process development, validation or transfer purposes. During these activities, not only the problem of up- and downscaling might lead to failure of repro-ducibility, but also the use of different bioreactor geometries and operation conditions. In such cases, the criteria for bioreactor design and process transfer should be re-evaluated in order to avoid an erroneous transfer of cultivation parameters.

Concept

For selection of process conditions several questions can be asked:

  • Type and scale of the intended cultivation system

  • Which data are required (cell specific parameters, specific data for the cultivation system)?

  • Are appropriate data e.g. for cell growth, substrate uptake, medium composition available?

  • For which cultivation systems have these data been determined?

  • Are data on power input, mixing time, oxygen transfer etc. available?

  • Which methods can be used to determine or estimate the above mentioned parameters?

For selection and evaluation of suitable cultivation parameters a decision tree (Figure 1) has been formulated to provide a guideline for design of mammalian cell culture processes. References for process transfer strategies are given for the following cases:

  • Scale similar and power imput similar: [13]

  • Scale similar and power imput similar: [46]

  • Scale up and power imput similar: [7, 8]

  • Scale up and power imput similar: [4, 9, 10]

Figure 1

Decision tree for selection of suitable cultivation parameters µ - growth rate, OTR - oxygen transfer rate, OUR - oxygen uptake rate, k L a - volume specific mass transfer coefficient.

Authors’ Affiliations

(1)
Institute of Bioprocess and Biosystems Engineering, Hamburg University of Technology
(2)
Institute of Biotechnology, Biochemical Engineering and Cell Cultivation Technique, Zurich University of Applied Sciences

References

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Copyright

© Pörtner et al. 2015

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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