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

@inbook{Monteiro:2023:10.1016/B978-0-443-15274-0.50060-3,
author = {Monteiro, M and Kontoravdi, C},
booktitle = {Computer Aided Chemical Engineering},
doi = {10.1016/B978-0-443-15274-0.50060-3},
pages = {375--380},
title = {Hybrid dynamic model of monoclonal antibody production using CHO cells},
url = {http://dx.doi.org/10.1016/B978-0-443-15274-0.50060-3},
year = {2023}
}
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RIS format (EndNote, RefMan)

TY  - CHAP
AB  - Mammalian cells are used to produce up to 80% of the commercially available therapeutic proteins, with Chinese Hamster Ovary (CHO) cells being the main production host. Antibody production occurs in a train of bioreactors typically operated in fed-batch, i.e., semi-continuous, mode. Real-time monitoring of antibody concentration is costly and involves sampling and offline analytics. Current reactor models lack extrapolation power while being highly reliant on extensive amounts of data for parameterization. This work aims to leverage knowledge of the cell's metabolism and incorporate it in the production reactor model, thus creating a hybrid formulation with increased predictive capability and generality. This novel formulation can make predictions without requiring kinetic parameter estimations. The applicability of the proposed formulation is demonstrated with a soft sensor for antibody production.
AU  - Monteiro,M
AU  - Kontoravdi,C
DO  - 10.1016/B978-0-443-15274-0.50060-3
EP  - 380
PY  - 2023///
SP  - 375
TI  - Hybrid dynamic model of monoclonal antibody production using CHO cells
T1  - Computer Aided Chemical Engineering
UR  - http://dx.doi.org/10.1016/B978-0-443-15274-0.50060-3
ER  -
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