|Publisher DOI:||10.1007/s00449-019-02089-7||Title:||Model-assisted Design of Experiments as a concept for knowledge-based bioprocess development||Language:||English||Authors:||Möller, Johannes
Kuchemüller, Kim Beatrice
|Keywords:||Chinese hamster ovary;Feeding profile;Modeling;Response surface||Issue Date:||May-2019||Source:||Bioprocess and biosystems engineering 5 (42): 867-882 (2019-05)||Journal or Series Name:||Bioprocess and biosystems engineering||Abstract (english):||Design of Experiments methods offer systematic tools for bioprocess development in Quality by Design, but their major drawback is the user-defined choice of factor boundary values. This can lead to several iterative rounds of time-consuming and costly experiments. In this study, a model-assisted Design of Experiments concept is introduced for the knowledge-based reduction of boundary values. First, the parameters of a mathematical process model are estimated. Second, the investigated factor combinations are simulated instead of experimentally derived and a constraint-based evaluation and optimization of the experimental space can be performed. The concept is discussed for the optimization of an antibody-producing Chinese hamster ovary batch and bolus fed-batch process. The same optimal process strategies were found if comparing the model-assisted Design of Experiments (4 experiments each) and traditional Design of Experiments (16 experiments for batch and 29 experiments for fed-batch). This approach significantly reduces the number of experiments needed for knowledge-based bioprocess development.||URI:||http://hdl.handle.net/11420/2682||ISSN:||1615-7591||Institute:||Bioprozess- und Biosystemtechnik V-1||Type:||(wissenschaftlicher) Artikel||Funded by:||Bundesministerium für Bildung und Forschung 031B0305,031B0577A|
|Appears in Collections:||Publications without fulltext|
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