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Improved control strategies for the environment within cell culture bioreactors

Jones, Jonathan; Kindembe, Didier; Branton, Harvey; Lawal, Najib; Montero, Eduardo Lopez; Mack, John; Shi, Shuo; Patton, Ron; Montague, Gary

Authors

Jonathan Jones

Didier Kindembe

Harvey Branton

Najib Lawal

Eduardo Lopez Montero

John Mack

Shuo Shi

Profile image of Ron Patton

Professor Ron Patton R.J.Patton@hull.ac.uk
Emeritus Professor of Control and Intelligent Systems Engineering

Gary Montague



Abstract

This paper describes the development of improved control strategies for the standard environmental conditions in a fed-batch bioreactor used for monoclonal antibody cell culture. The consequences of relying on fixed parameter PID based controllers are considered and poor performance is demonstrated as a consequence of non-linearity and loop interactions. The benefits from adopting a more sophisticated control strategy are considered. Model Predictive Control (MPC) relies on a process model that can be identified from small system perturbations. It considers the predicted longer-term response and consequently can deliver improved control and satisfy user defined constraints. Results from experimental trials demonstrate the capability of MPC and the merits are discussed with regards to industrial application.

Citation

Jones, J., Kindembe, D., Branton, H., Lawal, N., Montero, E. L., Mack, J., …Montague, G. (2023). Improved control strategies for the environment within cell culture bioreactors. Food and Bioproducts Processing, 138, 209-220. https://doi.org/10.1016/j.fbp.2023.02.004

Journal Article Type Article
Acceptance Date Feb 8, 2023
Online Publication Date Feb 16, 2023
Publication Date 2023-03
Deposit Date Feb 24, 2023
Publicly Available Date Mar 2, 2023
Journal Food and Bioproducts Processing
Print ISSN 0960-3085
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 138
Pages 209-220
DOI https://doi.org/10.1016/j.fbp.2023.02.004
Keywords Cell culture; Predictive control; Environment; Monoclonal antibodies
Public URL https://hull-repository.worktribe.com/output/4224900

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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0

Copyright Statement
© 2023 The Author(s). Published by Elsevier Ltd on behalf of Institution of Chemical Engineers. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)/




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