Journal
JOURNAL OF BIOTECHNOLOGY
Volume 108, Issue 1, Pages 61-77Publisher
ELSEVIER
DOI: 10.1016/j.jbiotec.2003.10.004
Keywords
statistical process monitoring; multiway partial least squares; quality prediction; batch cultivation; knowledge-based systems; real-time supervision
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Supervision of batch bioprocess operations in real-time during the progress of a batch run offers many advantages over end-of-batch quality control. Multivariate statistical techniques such as multiway partial least squares (MPLS) provide an efficient modeling and supervision framework. A new type of MPLS modeling technique that is especially suitable for online real-time process monitoring and the multivariate monitoring charts are presented. This online process monitoring technique is also extended to include predictions of end-of-batch quality measurements during the progress of a batch run. Process monitoring, quality estimation and fault diagnosis activities are automated and supervised by embedding them into a real-time knowledge-based system (RTKBS). Interpretation of multivariate charts is also automated through a generic rule-base for efficient alarm handling. The integrated RTKBS and the implementation of MPLS-based process monitoring and quality control are illustrated using a fed-batch penicillin production benchmark process simulator. (C) 2003 Elsevier B.V. All rights reserved.
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