Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-21975
Publication type: Book part
Type of review: Peer review (publication)
Title: Numerical methods for the design and description of in vitro expansion processes of human mesenchymal stem cells
Authors: Jossen, Valentin
Eibl, Dieter
Eibl, Regine
et. al: No
DOI: 10.1007/10_2020_147
10.21256/zhaw-21975
Published in: Digital Twins
Page(s): 185
Pages to: 228
Issue Date: 23-Oct-2020
Series: Advances in Biochemical Engineering / Biotechnology
Series volume: 177
Publisher / Ed. Institution: Springer
Publisher / Ed. Institution: Berlin
Language: English
Subjects: Computational fluid dynamics; Euler-Euler model; Euler-Lagrange model; Human mesenchymal stem cell; Kinetic growth modelling; Microcarrier technology
Subject (DDC): 660.6: Biotechnology
Abstract: Human mesenchymal stem cells (hMSCs) are a valuable source of cells for clinical applications (e.g., treatment of acute myocardial infarction or inflammatory diseases), especially in the field of regenerative medicine. However, for autologous (patient-specific) and allogeneic (off-the-shelf) hMSC-based therapies, in vitro expansion is necessary prior to the clinical application in order to achieve the required cell numbers. Safe, reproducible, and economic in vitro expansion of hMSCs for autologous and allogeneic therapies can be problematic because the cell material is restricted and the cells are sensitive to environmental changes. It is beneficial to collect detailed information on the hydrodynamic conditions and cell growth behavior in a bioreactor system, in order to develop a so called “Digital Twin” of the cultivation system and expansion process. Numerical methods, such as Computational Fluid Dynamics (CFD) which has become widely used in the biotech industry for studying local characteristics within bioreactors or kinetic growth modelling, provide possible solutions for such tasks. In this review, we will present the current state-of-the-art for the in vitro expansion of hMSCs. Different numerical tools, including numerical fluid flow simulations and cell growth modelling approaches for hMSCs, will be presented. In addition, a case study demonstrating the applicability of CFD and kinetic growth modelling for the development of an microcarrier-based hMSC process will be shown.
URI: https://digitalcollection.zhaw.ch/handle/11475/21975
Fulltext version: Accepted version
License (according to publishing contract): Licence according to publishing contract
Restricted until: 2021-10-23
Departement: Life Sciences and Facility Management
Organisational Unit: Institute of Chemistry and Biotechnology (ICBT)
Appears in collections:Publikationen Life Sciences und Facility Management

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Jossen, V., Eibl, D., & Eibl, R. (2020). Numerical methods for the design and description of in vitro expansion processes of human mesenchymal stem cells. In Digital Twins (pp. 185–228). Springer. https://doi.org/10.1007/10_2020_147
Jossen, V., Eibl, D. and Eibl, R. (2020) ‘Numerical methods for the design and description of in vitro expansion processes of human mesenchymal stem cells’, in Digital Twins. Berlin: Springer, pp. 185–228. Available at: https://doi.org/10.1007/10_2020_147.
V. Jossen, D. Eibl, and R. Eibl, “Numerical methods for the design and description of in vitro expansion processes of human mesenchymal stem cells,” in Digital Twins, Berlin: Springer, 2020, pp. 185–228. doi: 10.1007/10_2020_147.
JOSSEN, Valentin, Dieter EIBL und Regine EIBL, 2020. Numerical methods for the design and description of in vitro expansion processes of human mesenchymal stem cells. In: Digital Twins. Berlin: Springer. S. 185–228
Jossen, Valentin, Dieter Eibl, and Regine Eibl. 2020. “Numerical Methods for the Design and Description of in Vitro Expansion Processes of Human Mesenchymal Stem Cells.” In Digital Twins, 185–228. Berlin: Springer. https://doi.org/10.1007/10_2020_147.
Jossen, Valentin, et al. “Numerical Methods for the Design and Description of in Vitro Expansion Processes of Human Mesenchymal Stem Cells.” Digital Twins, Springer, 2020, pp. 185–228, https://doi.org/10.1007/10_2020_147.


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