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Estimation of process model parameters

Publikationstyp
Book Part
Date Issued
2020
Sprache
English
Author(s)
Deppe, Sahar  
Frahm, Björn  
Hass, Volker C.  
Hernández Rodríguez, Tanja  
Kuchemüller, Kim Beatrice  
Möller, Johannes  
Pörtner, Ralf 
Institut
Bioprozess- und Biosystemtechnik V-1  
TORE-URI
http://hdl.handle.net/11420/4617
Journal
Methods in molecular biology  
Start Page
213
End Page
234
Citation
Methods in Molecular Biology (2095): 213-234 (2020)
Publisher DOI
10.1007/978-1-0716-0191-4_12
Scopus ID
2-s2.0-85077169514
Cell culture technology has become a substantial domain of modern biotechnology, particularly in the pharmaceutical market. Today, products manufactured from cells itself dominate the biopharmaceutical industry. In addition, a limited number of products made of in vitro cultivated cells for regenerative medicine were launched to the market. Modeling of such processes is an important task since these systems are usually nonlinear and complex. In this chapter, a framework for the estimation of process model parameters and its implementation is shown. It is aimed to support the parameter estimation task, which increases the potential of implementation and improvement of mathematical process models into the novel and existing bioprocesses. Apart from the parameter estimation, evaluation of the estimated parameters plays an essential role in order to verify these parameters and subsequently the selected model. The workflow is outlined and shown specifically on the basis of a mathematical process model describing a mammalian cell culture batch process.
Subjects
Model implementation
Modeling
Parameter estimation
Programming
Funding(s)
IBÖM04:mDoE-Toolbox2-Neue mDoE Software-Toolbox zur modellgestützten Optimierung biotechnologischer Prozesse  
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