Literature DB >> 31858469

Generic Workflow for the Setup of Mechanistic Process Models.

Sven Daume1, Sandro Kofler1, Julian Kager1, Paul Kroll2, Christoph Herwig3.   

Abstract

Process models, consisting of transferable and applicable knowledge, can be used for various tasks such as process development and optimization, and for predicting and controlling critical process variables. In this regard, mechanistic process models, describing the mechanism of a system with a distinct model structure and characteristic parameters, are very promising.The development of a reliable and applicable model is usually the critical step, before model simulation and application show beneficial effects. In this chapter, a workflow for the generation of mechanistic process models is presented and applied on a typical cell culture process. The workflow includes the definition of critical reactions and the identification of their kinetics. By an iterative approach different reactions and kinetics are tested and model quality is assessed, leading to a final, target-oriented model.

Keywords:  Cell culture model; Covariance and correlation; Identifiability analysis; Kinetic model; Mechanistic model; Parameter error; Sensitivity

Year:  2020        PMID: 31858469     DOI: 10.1007/978-1-0716-0191-4_11

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


  1 in total

Review 1.  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

  1 in total

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