Abstract
Closed-loop control can significantly improve the performance of bioprocesses, e.g., by an increase of the production rate of a target molecule or by guaranteeing reproducibility of the production with low variability. In contrast to the control of chemical reaction systems, the biological reactions take place inside cells which constitute highly regulated, i.e., internally controlled systems by themselves. As a result, through evolution, the same cell can and will mimic a system of first order in some situations and a high-dimensional, highly nonlinear system in others. A complete mathematical description of the possible behaviors of the cell is still beyond reach and would be far too complicated as a basis for model-based process control. This makes supervision, control, and optimization of biosystems very demanding.
This is a preview of subscription content, log in via an institution to check access.
Bibliography
Bastin G, Dochain D (2008) On-line estimation and adaptive control of bioreactors. Elsevier, Amsterdam
Dochain D (2008) Bioprocess control. ISTE, London
Gnoth S, Jentzsch M, Simutis R, Lübbert A (2008) Control of cultivation processes for recombinant protein production: a review. Bioprocess Biosyst Eng 31:21–39
Goudar C, Biener R, Zhang C, Michaels J, Piret J, Konstantinov K (2006) Towards industrial application of quasi real-time metabolic flux analysis for mammalian cell culture. Adv Biochem Eng Biotechnol 101:99–118
Herold S, King R (2013) Automatic identification of structured process models based on biological phenomena detected in (fed-)batch experiments. Bioprocess Biosyst Eng. doi:10.1007/s00449-013-1100-6
Junker BH, Wang HY (2006) Bioprocess monitoring and computer control: key roots of the current PAT initiative. Biotechnol Bioeng 95:226–261
Kawohl M, Heine T, King R (2007) Model-based estimation and optimal control of fed-batch fermentation processes for the production of antibiotics. Chem Eng Process 11:1223–1241
King R (1997) A structured mathematical model for a class of organisms: part 1–2. J Biotechnol 52:219–244
Mandenius CF, Titchener-Hooker NJ (ed) (2013) Measurement, monitoring, modelling and control of bioprocesses. Advances in biochemical engineering biotechnology, vol 132. Springer, Heidelberg
Mangold M, Angeles-Palacios O, Ginkel M, Waschler R, Kinele A, Gilles ED (2005) Computer aided modeling of chemical and biological systems – methods, tools, and applications. Ind Eng Chem Res 44:2579–2591
Rani KY, Rao VSR (1999) Control of fermenters. Bioprocess Eng 21:77–88 31:21–39
Varner J, Ramkrishna D (1998) Application of cybernetic models to metabolic engineering: investigation of storage pathways. Biotech Bioeng 58:282–291; 31:21–39
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer-Verlag London
About this entry
Cite this entry
King, R. (2014). Control of Biotechnological Processes. In: Baillieul, J., Samad, T. (eds) Encyclopedia of Systems and Control. Springer, London. https://doi.org/10.1007/978-1-4471-5102-9_252-1
Download citation
DOI: https://doi.org/10.1007/978-1-4471-5102-9_252-1
Received:
Accepted:
Published:
Publisher Name: Springer, London
Online ISBN: 978-1-4471-5102-9
eBook Packages: Springer Reference EngineeringReference Module Computer Science and Engineering
Publish with us
Chapter history
-
Latest
Control of Biotechnological Processes- Published:
- 29 April 2020
DOI: https://doi.org/10.1007/978-1-4471-5102-9_252-2
-
Original
Control of Biotechnological Processes- Published:
- 06 April 2014
DOI: https://doi.org/10.1007/978-1-4471-5102-9_252-1