LAPSE:2021.0300
Published Article
LAPSE:2021.0300
Adaptive Monitoring of Biotechnological Processes Kinetics
Velislava Lyubenova, Maya Ignatova, Olympia Roeva, Stefan Junne, Peter Neubauer
April 30, 2021
In this paper, an approach for the monitoring of biotechnological process kinetics is proposed. The kinetics of each process state variable is presented as a function of two time-varying unknown parameters. For their estimation, a general software sensor is derived with on-line measurements as inputs that are accessible in practice. The stability analysis with a different number of inputs shows that stability can be guaranteed for fourth- and fifth-order software sensors only. As a case study, the monitoring of the kinetics of processes carried out in stirred tank reactors is investigated. A new tuning procedure is derived that results in a choice of only one design parameter. The effectiveness of the proposed procedure is demonstrated with experimental data from Bacillus subtilis fed-batch cultivations.
Keywords
adaptive monitoring, bioprocess kinetics, software sensor, stirred tank reactor, tuning procedure
Suggested Citation
Lyubenova V, Ignatova M, Roeva O, Junne S, Neubauer P. Adaptive Monitoring of Biotechnological Processes Kinetics. (2021). LAPSE:2021.0300
Author Affiliations
Lyubenova V: Department of Mechatronic Bio/Technological Systems, Institute of Robotics, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria
Ignatova M: Department of Mechatronic Bio/Technological Systems, Institute of Robotics, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria
Roeva O: Department of Bioinformatics and Mathematical Modelling, Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria [ORCID]
Junne S: Bioprocess Engineering, Institute of Biotechnology, Technical University Berlin, 13355 Berlin, Germany [ORCID]
Neubauer P: Bioprocess Engineering, Institute of Biotechnology, Technical University Berlin, 13355 Berlin, Germany [ORCID]
Journal Name
Processes
Volume
8
Issue
10
Article Number
E1307
Year
2020
Publication Date
2020-10-17
Published Version
ISSN
2227-9717
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Original Submission
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PII: pr8101307, Publication Type: Journal Article
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LAPSE:2021.0300
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doi:10.3390/pr8101307
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Apr 30, 2021
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CC BY 4.0
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Apr 30, 2021
 
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Calvin Tsay
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