Next Article in Journal
Chaotic Mixing Analyzing in Continuous Mixer with Tracing the Morphology Development of a Polymeric Drop
Previous Article in Journal
Denitrification Control in a Recirculating Aquaculture System鈥擜 Simulation Study
Previous Article in Special Issue
Water Cycle Algorithm for Modelling of Fermentation Processes
Search for Articles:
Title / Keyword
Author / Affiliation
Article Type
Special Issue
Logical OperatorOperator
Search Text
Search Type
Open AccessFeature PaperArticle

Adaptive Monitoring of Biotechnological Processes Kinetics

by 1,*, 1, 2, 3 and 3
Department of Mechatronic Bio/Technological Systems, Institute of Robotics, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria
Department of Bioinformatics and Mathematical Modelling, Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria
Bioprocess Engineering, Institute of Biotechnology, Technical University Berlin, 13355 Berlin, Germany
Author to whom correspondence should be addressed.
Processes 2020, 8(10), 1307;
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
Show Figures

Figure 1

MDPI and ACS Style

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

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Search more from Scilit
Back to TopTop