Automated production support for the bioprocess industry
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Updated: Aug 12, 2026

A High-throughput Automated Platform for the Development of Manufacturing Cell Lines for Protein Therapeutics
Published on: September 22, 2011
Barry Lennox1, Kathryn Kipling, Jarka Glassey
1School of Engineering, University of Manchester, U.K. barry.lennox@man.ac.uk
Abstract:
This paper describes the application of Artificial Intelligence and Multivariate Statistical Techniques to two industrial fermentation systems. In the first example, an Expert System is shown to provide tighter control of an important process parameter. This is shown to lead to improved consistency of operation. In the second application, Principal Component Analysis is applied to a final stage fermentation production facility. The results presented indicate that the algorithm can provide concise indicators of process faults that can be presented to the operators to assist them in taking suitable corrective actions.
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