Software sensors for Monitoring of Biopolymer Production
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F21%3A43923546" target="_blank" >RIV/60461373:22340/21:43923546 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/9447540" target="_blank" >https://ieeexplore.ieee.org/document/9447540</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/PC52310.2021.9447540" target="_blank" >10.1109/PC52310.2021.9447540</a>
Alternative languages
Result language
angličtina
Original language name
Software sensors for Monitoring of Biopolymer Production
Original language description
The topic of this paper is the design of software sensors for online monitoring of the biotechnological process of biopolymer production, in which biopolymers are accumulated in bacteria as an intracellular energy storage material. The proposed software sensors enabling on-line estimation of the biopolymer concentration represent in the case of these complicated bioprocesses an interesting alternative to the traditional off-line analytical techniques, which have only limited applicability for the real-time control of these bioprocesses. Due to the complexity of biochemical reactions, which make it difficult to create reasonably complex and therefore practically applicable first-principle mathematical models, a data-driven approach to the design of software sensors has been chosen in the presented study. Thus, regression methods were used in the design of the proposed software sensors, including multivariate statistical methods (PLS, PCR), which enabled the creation of software sensors using historical process data. The so obtained software sensors enable not only on-line estimation of the biopolymer concentration, but also the concentration of the cell biomass of the production bacterial culture. The model process for this study was fed-batch cultivation of the Pseudomonas putida KT2442 strain used for the production of medium-chain-length polyhydroxyalkanoates (mcl-PHAs).
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 2021 23rd International Conference on Process Control (PC)
ISBN
978-1-66540-330-6
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
308-312
Publisher name
Czechoslovakia Section IEEE
Place of publication
Praha
Event location
Štrbské Pleso
Event date
Jun 1, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000723653400052