Imperial College London
Portrait Picture

Professor Cleo Kontoravdi

Faculty of Engineering, Department of Chemical Engineering

Professor of Biological Systems Engineering
 
 
 
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Contact

 

+44 (0)20 7594 6655cleo.kontoravdi98 Website

 
 
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Location

 

310ACE ExtensionSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Kotidis:2021:10.1016/j.compchemeng.2021.107460,
author = {Kotidis, P and Pappas, I and Avraamidou, S and Pistikopoulos, EN and Kontoravdi, C and Papathanasiou, MM},
doi = {10.1016/j.compchemeng.2021.107460},
journal = {Computers and Chemical Engineering},
pages = {1--7},
title = {DigiGlyc: A hybrid tool for reactive scheduling in cell culture systems},
url = {http://dx.doi.org/10.1016/j.compchemeng.2021.107460},
volume = {154},
year = {2021}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - 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.
AU  - Kotidis,P
AU  - Pappas,I
AU  - Avraamidou,S
AU  - Pistikopoulos,EN
AU  - Kontoravdi,C
AU  - Papathanasiou,MM
DO  - 10.1016/j.compchemeng.2021.107460
EP  - 7
PY  - 2021///
SN  - 0098-1354
SP  - 1
TI  - DigiGlyc: A hybrid tool for reactive scheduling in cell culture systems
T2  - Computers and Chemical Engineering
UR  - http://dx.doi.org/10.1016/j.compchemeng.2021.107460
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000697031900010&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - https://www.sciencedirect.com/science/article/pii/S0098135421002386?via%3Dihub
UR  - http://hdl.handle.net/10044/1/92383
VL  - 154
ER  -
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