Imperial College London
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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:2019:10.1016/j.compchemeng.2019.01.022,
author = {Kotidis, P and Demis, P and Goey, C and Correa, E and McIntosh, C and Trepekli, S and Shah, N and Klymenko, O and Kontoravdi, K},
doi = {10.1016/j.compchemeng.2019.01.022},
journal = {Computers and Chemical Engineering},
pages = {558--568},
title = {Constrained global sensitivity analysis for bioprocess design space identification},
url = {http://dx.doi.org/10.1016/j.compchemeng.2019.01.022},
volume = {125},
year = {2019}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - The manufacture of protein-based therapeutics presents unique challenges due to limited control over the biotic phase. This typically gives rise to a wide range of protein structures of varying safety and in vivo efficacy. Herein we propose a computational methodology, enabled by the application of constrained Global Sensitivity Analysis, for efficiently exploring the operatingrange of process inputs in silico and identifying a design space that meets output constraints. The methodology was applied to an antibody-producing Chinese hamster ovary (CHO) cell culture system: we explored >8000 feeding strategies to identify a subset of manufacturing conditions that meet constraints on antibody titre and glycan distribution as an attribute of product quality. Our computational findings were then verified experimentally, confirming the applicability of this approach to a challenging production system. We envisage that this methodology can significantly expedite bioprocess development and increase operational flexibility.
AU  - Kotidis,P
AU  - Demis,P
AU  - Goey,C
AU  - Correa,E
AU  - McIntosh,C
AU  - Trepekli,S
AU  - Shah,N
AU  - Klymenko,O
AU  - Kontoravdi,K
DO  - 10.1016/j.compchemeng.2019.01.022
EP  - 568
PY  - 2019///
SN  - 1873-4375
SP  - 558
TI  - Constrained global sensitivity analysis for bioprocess design space identification
T2  - Computers and Chemical Engineering
UR  - http://dx.doi.org/10.1016/j.compchemeng.2019.01.022
UR  - http://hdl.handle.net/10044/1/66121
VL  - 125
ER  -
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