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数字模拟和流场在不同的动态共文化条件下的比较

Liying Li¹, Xinyue Liu¹, Huamao Sun²

¹State Key Laboratory of Fine Chemicals, Dalian R&D Center for Stem Cell and Tissue Engineering, Cancer Hospital of Dalian University of Technology, Dalian University of Technology, Dalian, China.

Biotechnology journal

|May 15, 2025

概括

计算流体动力学 (CFD) 模拟显示,旋转细胞培养系统 (RCCS) 为细胞培养提供了优越的流体动力学,而不是旋转瓶 (SF). RCCS提供了更好的物质交换,这对于动态细胞培养和组织工程应用至关重要.

科学领域:

生物技术是生物技术.
生物工程是生物工程.
计算科学计算科学

背景情况:

生物反应器技术自动化了细胞扩张,但理解内部流场是具有挑战性的.
实验方法很难完全描述生物反应堆中的复杂环境.
计算流体动力学 (CFD) 提供了一个强大的工具来分析流体动力学及其对细胞培养的影响.

研究的目的:

在旋转细胞培养系统 (RCCS) 和螺旋瓶 (SF) 中模拟和分析流场和流体剪切应力 (FSS).
为了比较RCCS和SF的水力动态环境,以优化细胞微载体培养.
评估不同生物反应器对于动态细胞培养应用的适用性.

主要方法:

使用FLUENT软件进行计算流体动力学 (CFD) 模拟.
在RCCS和SF中模拟动态压力,剪切应力和速度分布.
在不同位置和旋转速度的两个直径的粒子上分析FSS.

主要成果:

在SF中确定了不同的流动模式,包括对物质交换不利的静态区域.
证明,与SF相比,RCCS为材料交换提供了更有利的环境.
详细分析FSS在颗粒上的分布,为优化生物反应器运行提供了洞察力.

结论:

旋转生物反应器 (RCCS) 在动态细胞培养方面显示出比旋转瓶 (SF) 更大的潜力.
CFD模拟为改善细胞培养过程提供了生物反应器水力动力学的有价值可视化.
了解当地的水力动力学变化对于优化细胞微载体复杂培养至关重要.

关键词:

佛罗伦萨 - 佛罗伦萨佛罗伦萨生物反应器是一个生物反应器.细胞培养培养的细胞培养.计算流体动力学 (CFD) 计算流体动力学流场流场流场流场流场

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