DigiGlyc: A hybrid tool for reactive scheduling in cell culture systems
File(s)
Accepted version
Author(s)
Type
Journal Article
Abstract
Chinese hamster ovary (CHO) cell culture systems are the most widely used platform for the industrial production of monoclonal antibodies (mAbs). The optimisation of manufacturing conditions for these high-value products is largely conducted off-line with little or no monitoring of mAb quality in-process. Here, we propose DigiGlyc, a hybrid model of these systems that predicts the critical quality attribute of mAb galactosylation. Having shown that DigiGlyc describes a wide range of experimental data well, we demonstrate that it can be used for the design of reactive optimisation studies. This hybrid formulation offers considerable gains in computational speed compared to mechanistic models with no loss in fidelity and can therefore underpin future online control and optimisation studies.
Date Issued
2021-11-01
Date Acceptance
2021-07-22
Citation
Computers and Chemical Engineering, 2021, 154, pp.1-7
ISSN
0098-1354
Publisher
Elsevier
Start Page
1
End Page
7
Journal / Book Title
Computers and Chemical Engineering
Volume
154
Copyright Statement
© 2021 Elsevier Ltd. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence http://creativecommons.org/licenses/by-nc-nd/4.0/
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000697031900010&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
Science & Technology
Technology
Computer Science, Interdisciplinary Applications
Engineering, Chemical
Computer Science
Engineering
Hybrid modelling
Bioprocess optimisation
Galactosylation
Antibody production
N-LINKED GLYCOSYLATION
MONOCLONAL-ANTIBODY
TIME EVOLUTION
MODEL
PREDICTION
FRAMEWORK
LINE
Publication Status
Published
Article Number
ARTN 107460
Date Publish Online
2021-07-24