| Literature DB >> 31858469 |
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