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Quantifying the hydrodynamic stress for bioprocesses.
Kaya, Umut; Gopireddy, Srikanth; Urbanetz, Nora; Kreitmayer, Diana; Gutheil, Eva; Nopens, Ingmar; Verwaeren, Jan.
Afiliación
  • Kaya U; Supply Chain Operations, Pharmaceutical Development, Daiichi Sankyo Europe GmbH, Pfaffenhofen, Germany.
  • Gopireddy S; Department of Data Analysis and Mathematical Modelling, Ghent University, Ghent, Belgium.
  • Urbanetz N; Supply Chain Operations, Pharmaceutical Development, Daiichi Sankyo Europe GmbH, Pfaffenhofen, Germany.
  • Kreitmayer D; Department of Data Analysis and Mathematical Modelling, Ghent University, Ghent, Belgium.
  • Gutheil E; Supply Chain Operations, Pharmaceutical Development, Daiichi Sankyo Europe GmbH, Pfaffenhofen, Germany.
  • Nopens I; Supply Chain Operations, Pharmaceutical Development, Daiichi Sankyo Europe GmbH, Pfaffenhofen, Germany.
  • Verwaeren J; Interdisciplinary Center for Scientific Computing, Heidelberg University, Heidelberg, Germany.
Biotechnol Prog ; 39(5): e3367, 2023.
Article en En | MEDLINE | ID: mdl-37293967
Hydrodynamic stress is an influential physical parameter for various bioprocesses, affecting the performance and viability of the living organisms. However, different approaches are in use in various computational and experimental studies to calculate this parameter (including its normal and shear subcomponents) from velocity fields without a consensus on which one is the most representative of its effect on living cells. In this letter, we investigate these different methods with clear definitions and provide our suggested approach which relies on the principal stress values providing a maximal distinction between the shear and normal components. Furthermore, a numerical comparison is presented using the computational fluid dynamics simulation of a stirred and sparged bioreactor. It is demonstrated that for this specific bioreactor, some of these methods exhibit quite similar patterns throughout the bioreactor-therefore can be considered equivalent-whereas some of them differ significantly.

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Biotechnol Prog Asunto de la revista: BIOTECNOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Alemania

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Biotechnol Prog Asunto de la revista: BIOTECNOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Alemania