Literature DB >> 31858470

Estimation of Process Model Parameters.

Sahar Deppe1, Björn Frahm2, Volker C Hass3, Tanja Hernández Rodríguez1, Kim B Kuchemüller4, Johannes Möller4, Ralf Pörtner4.   

Abstract

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.

Entities:  

Keywords:  Model implementation; Modeling; Parameter estimation; Programming

Year:  2020        PMID: 31858470     DOI: 10.1007/978-1-0716-0191-4_12

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  4 in total

1.  Digital Twins and Their Role in Model-Assisted Design of Experiments.

Authors:  Kim B Kuchemüller; Ralf Pörtner; Johannes Möller
Journal:  Adv Biochem Eng Biotechnol       Date:  2021       Impact factor: 2.635

2.  Dynamic parameter estimation and prediction over consecutive scales, based on moving horizon estimation: applied to an industrial cell culture seed train.

Authors:  Tanja Hernández Rodríguez; Christoph Posch; Ralf Pörtner; Björn Frahm
Journal:  Bioprocess Biosyst Eng       Date:  2020-12-29       Impact factor: 3.210

Review 3.  Advances in monitoring and control of refolding kinetics combining PAT and modeling.

Authors:  Jan Niklas Pauk; Janani Raju Palanisamy; Julian Kager; Krisztina Koczka; Gerald Berghammer; Christoph Herwig; Lukas Veiter
Journal:  Appl Microbiol Biotechnol       Date:  2021-02-17       Impact factor: 4.813

4.  View on a mechanistic model of Chlorella vulgaris in incubated shake flasks.

Authors:  Fabian Kuhfuß; Veronika Gassenmeier; Sahar Deppe; George Ifrim; Tanja Hernández Rodríguez; Björn Frahm
Journal:  Bioprocess Biosyst Eng       Date:  2021-10-22       Impact factor: 3.210

  4 in total

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