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

Hernández Rodríguez, Tanja; Posch, Christoph; Pörtner, Ralf; Frahm, Björn

Hernández Rodríguez, Tanja; Posch, Christoph; Pörtner, Ralf; Frahm, Björn.

Affiliation

Hernández Rodríguez T; Ostwestfalen-Lippe University of Applied Sciences and Arts, Biotechnology and Bioprocess Engineering, Lemgo, Germany.
Posch C; Novartis Technical Research and Development, Sandoz GmbH, Langkampfen, Austria.
Pörtner R; Institute of Bioprocess and Biosystems Engineering, Hamburg University of Technology, Hamburg, Germany.
Frahm B; Ostwestfalen-Lippe University of Applied Sciences and Arts, Biotechnology and Bioprocess Engineering, Lemgo, Germany. bjoern.frahm@th-owl.de.

Bioprocess Biosyst Eng ; 44(4): 793-808, 2021 Apr.

Article in En | MEDLINE | ID: mdl-33373034

Subject(s)

Biological Products/chemistry; Biotechnology/methods; Industrial Microbiology/instrumentation; Industrial Microbiology/methods; Algorithms; Animals; Batch Cell Culture Techniques/methods; Bayes Theorem; Bioreactors; CHO Cells; Cricetulus; Culture Media/chemistry; Decision Making; Kinetics; Least-Squares Analysis; Models, Biological; Reproducibility of Results

Key words

Bioprocess; Cell cultures; Dynamic parameter estimation; Moving horizon estimation; Prior knowledge

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Biological Products / Biotechnology / Industrial Microbiology Type of study: Prognostic_studies / Risk_factors_studies Limits: Animals Language: En Journal: Bioprocess Biosyst Eng Journal subject: BIOTECNOLOGIA / ENGENHARIA BIOMEDICA Year: 2021 Document type: Article Affiliation country: Germany Country of publication: Germany

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