A CFD model-based design of seeding processes for two-dimensional mesenchymal stem cell cultivation. (March 2023)

• Record Type: Journal Article
• Authors: Scholz, Benedikt X.; Hayashi, Yusuke; Udugama, Isuru A.; Kino-oka, Masahiro; Sugiyama, Hirokazu
• Is Part Of: Computers & chemical engineering. Volume 171(2023)
• Publication Date: 2023-03
• Subjects: Computational fluid dynamics -- Numerical simulation -- Heterogeneity -- Cultivation -- Regenerative medicine -- Process optimization; Chemical engineering -- Data processing -- Periodicals; 660.0285
• DOI: 10.1016/j.compchemeng.2023.108157
• Languages: English
• ISSNs: 0098-1354

Abstract

Highlights: Developed a CFD model for seeding optimization of mesenchymal stem cells. Analyzed the local and global heterogeneity in the seeding process. Assessed the impact of experimental design variables on the seeding heterogeneity. Determined improved operating conditions/seeding set-up. Provided a basis for further optimization/automation of the seeding process. Abstract: Current seeding processes of mesenchymal stem cells (MSC) in 2D in vitro culture systems rely on the experience and practice of experimentalists. A systematic understanding of the operation of this process is needed especially considering future scale-out and automation. This work presents a computational fluid dynamics (CFD) model-based design of seeding processes for 2D mesenchymal stem cell cultivation. The CFD-based process model enables the investigation of the cell heterogeneity at local and global levels using visual and numerical analyses. Case studies were performed to single out the impact of changing experimental design variables on the seeding heterogeneity. A significant improvement could be achieved by positioning the pipette right above the center of the plate, increasing the initial media level, and lowering the pipette angle at an initial seeding density of 5000 cells cm –2 . For ideal seeding conditions, temperature differences between the cultivation media and the environment should be avoided. Graphical abstract: Image, graphical abstract