Application of CFD in Bioprocessing: Separation of mammalian cells using disc stack centrifuge during production of biotherapeutics

•Study presents a novel approach for disc stack centrifuge performance optimization using CFD.•Statistical analysis based empirical modeling has been used to relate cell lysis data to turbulent stresses.•Design space for the centrifuge has been proposed for optimal productivity, clarification effici...

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Veröffentlicht in:Journal of biotechnology 2018-02, Vol.267, p.1-11
Hauptverfasser: Shekhawat, Lalita Kanwar, Sarkar, Jayati, Gupta, Rachit, Hadpe, Sandeep, Rathore, Anurag S
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Sprache:eng
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Zusammenfassung:•Study presents a novel approach for disc stack centrifuge performance optimization using CFD.•Statistical analysis based empirical modeling has been used to relate cell lysis data to turbulent stresses.•Design space for the centrifuge has been proposed for optimal productivity, clarification efficiency, and cell lysis.•Validation of proposed design space for centrifuge has been demonstrated. Centrifugation continues to be one of the most commonly used unit operations for achieving efficient harvest of the product from the mammalian cell culture broth during production of therapeutic monoclonal antibodies (mAbs). Since the mammalian cells are known to be shear sensitive, optimal performance of the centrifuge requires a balance between productivity and shear. In this study, Computational Fluid Dynamics (CFD) has been successfully used as a tool to facilitate efficient optimization. Multiphase Eulerian-Eulerian model coupled with Gidaspow drag model along with Eulerian-Eulerian k-ε mixture turbulence model have been used to quantify the complex hydrodynamics of the centrifuge and thus evaluate the turbulent stresses generated by the centrifugal forces. An empirical model has been developed by statistical analysis of experimentally observed cell lysis data as a function of turbulent stresses. An operating window that offers the optimal balance between high productivity, high separation efficiency, and low cell damage has been identified by use of CFD modeling.
ISSN:0168-1656
1873-4863
DOI:10.1016/j.jbiotec.2017.12.016