Mixing and mass transfer in production scale mammalian cell culture reactor using coupled CFD-species transport-PBM validation

Mishra, Somesh; Kumar, Vikash; Sarkar, Jayati; Rathore, Anurag S.

doi:10.1016/j.ces.2022.118323

Cited by 5 publications

(2 citation statements)

References 65 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Between 4 [120] and 504 [121] cores were used for the calculations. Only five of the authors stated that they had used an HPC system [44,[121][122][123][124], with the remaining authors having used desktop machines. The current versions of Ansys Fluent and Siemens Simcenter Star-CCM+ emphasised the use of graphics processing units (GPU) instead of central processing units for the calculations.…”

Section: Hardware and Softwarementioning

confidence: 99%

Computational Fluid Dynamics for Advanced Characterisation of Bioreactors Used in the Biopharmaceutical Industry – Part I: Literature Review

Seidel¹,

Schirmer²,

Maschke³

et al. 2023

Computational Fluid Dynamics - Recent Advances, New Perspectives and Applications

View full text Add to dashboard Cite

Computational fluid dynamics (CFD) is a widely used tool for investigating fluid flows in bioreactors. It has been used in the biopharmaceutical industry for years and has established itself as an important tool for process engineering characterisation. As a result, CFD simulations are increasingly being used to complement classical process engineering investigations in the laboratory with spatially and temporally resolved results, or even replace them when laboratory investigations are not possible. Parameters that can be determined include the specific power input, Kolmogorov length, hydrodynamic stress, mixing time, oxygen transfer rate, and for cultivations with microcarriers, the NS1 criterion. In the first part of this series, a literature review illustrates how these parameters can be determined using CFD and how they can be validated experimentally. In addition, an overview of the hardware and software typically used for bioreactor characterisation will also be provided, including process engineering parameter investigations from the literature. In the second part of this series, the authors’ research results will be used to show how the process engineering characterisation of mechanically driven bioreactors for the biopharmaceutical industry (stirred, orbitally shaken, and wave-mixed) can be determined and validated using CFD.

show abstract

Section: Hardware and Softwarementioning

confidence: 99%

Computational Fluid Dynamics for Advanced Characterisation of Bioreactors Used in the Biopharmaceutical Industry – Part I: Literature Review

Seidel¹,

Schirmer²,

Maschke³

et al. 2023

Computational Fluid Dynamics - Recent Advances, New Perspectives and Applications

View full text Add to dashboard Cite

show abstract

“…There have been valuable contributions made in the literature for the application of CFD to model volumetric mass transfer coefficient (k L a) [ 40 , 41 , 42 ], power density (P/V) [ 43 , 44 , 45 ], mixing time [ 46 , 47 , 48 ], Kolmogorov length ( λ k ) [ 49 , 50 ], shear stress (τ) [ 51 , 52 , 53 ] and sedimentation [ 54 , 55 ] in bioreactors. Cell culture dynamics, metabolism and product glycosylation have been modelled in the past using mechanistic models [ 56 , 57 , 58 ], statistical models [ 59 , 60 , 61 ], and hybrid models [ 61 , 62 ].…”

Section: Introductionmentioning

confidence: 99%

Integration Approaches to Model Bioreactor Hydrodynamics and Cellular Kinetics for Advancing Bioprocess Optimisation

Singh,

Jiménez del Val,

Glassey

et al. 2024

Bioengineering

View full text Add to dashboard Cite

Large-scale bioprocesses are increasing globally to cater to the larger market demands for biological products. As fermenter volumes increase, the efficiency of mixing decreases, and environmental gradients become more pronounced compared to smaller scales. Consequently, the cells experience gradients in process parameters, which in turn affects the efficiency and profitability of the process. Computational fluid dynamics (CFD) simulations are being widely embraced for their ability to simulate bioprocess performance, facilitate bioprocess upscaling, downsizing, and process optimisation. Recently, CFD approaches have been integrated with dynamic Cell reaction kinetic (CRK) modelling to generate valuable information about the cellular response to fluctuating hydrodynamic parameters inside large production processes. Such coupled approaches have the potential to facilitate informed decision-making in intelligent biomanufacturing, aligning with the principles of “Industry 4.0” concerning digitalisation and automation. In this review, we discuss the benefits of utilising integrated CFD-CRK models and the different approaches to integrating CFD-based bioreactor hydrodynamic models with cellular kinetic models. We also highlight the suitability of different coupling approaches for bioprocess modelling in the purview of associated computational loads.

show abstract

Rational scaling-up strategy for cultured meat production based on bioreactor micro-environment evaluation

Sun,

Tang,

Wang

et al. 2025

Food Bioscience

View full text Add to dashboard Cite

Mixing and mass transfer in production scale mammalian cell culture reactor using coupled CFD-species transport-PBM validation

Cited by 5 publications

References 65 publications

Computational Fluid Dynamics for Advanced Characterisation of Bioreactors Used in the Biopharmaceutical Industry – Part I: Literature Review

Computational Fluid Dynamics for Advanced Characterisation of Bioreactors Used in the Biopharmaceutical Industry – Part I: Literature Review

Integration Approaches to Model Bioreactor Hydrodynamics and Cellular Kinetics for Advancing Bioprocess Optimisation

Rational scaling-up strategy for cultured meat production based on bioreactor micro-environment evaluation

Contact Info

Product

Resources

About