School of Chemistry, University of New South Wales, Kensington, New South Wales, Australia; School of Biomedical Engineering, The University of Sydney, Camperdown, New South Wales, Australia.
J Mech Behav Biomed Mater. 2022 Feb;126:105024. doi: 10.1016/j.jmbbm.2021.105024. Epub 2021 Dec 7.
Culture medium is frequently modelled as water in computational fluid dynamics (CFD) analysis of in vitro culture systems involving flow, such as bioreactors and organ-on-chips. However, culture medium can be expected to have different properties to water due to its higher solute content. Furthermore, cellular activities such as metabolism and secretion of ECM proteins alter the composition of culture medium and therefore its properties during culture. As these properties directly determine the hydromechanical stimuli exerted on cells in vitro, these, along with any changes during culture must be known for CFD modelling accuracy and meaningful interpretation of cellular responses. In this study, the density and dynamic viscosity of DMEM and RPMI-1640 media supplemented with typical concentrations of foetal bovine serum (0, 5, 10 and 20% v/v) were measured to serve as a reference for computational design analysis. Any changes in the properties of medium during culture were also investigated with NCI-H460 and HN6 cell lines. The density and dynamic viscosity of the media increased proportional to the % volume of added foetal bovine serum (FBS). Importantly, the viscosity of 5% FBS-supplemented RPMI-1640 was found to increase significantly after 3 days of culture of NCI-H460 and HN6 cell lines, with distinct differences between magnitude of change for each cell line. Finally, these experimentally-derived values were applied in CFD analysis of a simple microfluidic device, which demonstrated clear differences in maximum wall shear stress and pressure between fluid models. Overall, these results highlight the importance of characterizing model-specific properties for CFD design analysis of cell culture systems.
在涉及流动的体外培养系统(如生物反应器和器官芯片)的计算流体动力学(CFD)分析中,培养基通常被建模为水。然而,由于培养基中溶质含量较高,预计其性质会与水有所不同。此外,细胞代谢和细胞外基质蛋白的分泌等细胞活动会改变培养基的组成,从而改变培养过程中的性质。由于这些性质直接决定了细胞在体外受到的流体力学刺激,因此对于 CFD 建模的准确性和对细胞反应的有意义的解释,这些性质以及培养过程中的任何变化都必须为人所知。在这项研究中,测量了添加典型胎牛血清浓度(0、5、10 和 20%v/v)的 DMEM 和 RPMI-1640 培养基的密度和动态粘度,以作为计算设计分析的参考。还研究了 NCI-H460 和 HN6 细胞系培养过程中培养基性质的任何变化。培养基的密度和动态粘度与添加的胎牛血清(FBS)的体积百分比成正比增加。重要的是,在 NCI-H460 和 HN6 细胞系培养 3 天后,发现添加 5%FBS 的 RPMI-1640 培养基的粘度显著增加,每个细胞系的变化幅度有明显差异。最后,将这些通过实验获得的值应用于简单微流控装置的 CFD 分析中,该分析显示了流体模型之间最大壁面剪切应力和压力的明显差异。总之,这些结果强调了为细胞培养系统的 CFD 设计分析特性化模型特定性质的重要性。
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