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Open AccessFeature PaperArticle

Adaptive Monitoring of Biotechnological Processes Kinetics

1
Department of Mechatronic Bio/Technological Systems, Institute of Robotics, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria
2
Department of Bioinformatics and Mathematical Modelling, Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria
3
Bioprocess Engineering, Institute of Biotechnology, Technical University Berlin, 13355 Berlin, Germany
*
Author to whom correspondence should be addressed.
Processes 2020, 8(10), 1307; https://doi.org/10.3390/pr8101307
Received: 8 September 2020 / Revised: 9 October 2020 / Accepted: 14 October 2020 / Published: 17 October 2020
(This article belongs to the Special Issue Modelling and Optimal Design of Complex Biological Systems)
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. View Full-Text
Keywords: adaptive monitoring; bioprocess kinetics; software sensor; tuning procedure; stirred tank reactor adaptive monitoring; bioprocess kinetics; software sensor; tuning procedure; stirred tank reactor
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MDPI and ACS Style

Lyubenova, V.; Ignatova, M.; Roeva, O.; Junne, S.; Neubauer, P. Adaptive Monitoring of Biotechnological Processes Kinetics. Processes 2020, 8, 1307.

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