在 perfusion 细胞培养中的触流过的计算流体粒子动力学建模
Hamideh Hayati1, Caitlin Kurtz2, Yu Feng1
1School of Chemical Engineering, Oklahoma State University, Stillwater, OK, 74078, USA.
Bioprocess and biosystems engineering
|January 3, 2025
概括
生物制药制造中的膜污染通过了解可见粒子影响而减少. 增加料流速大大减少了颗粒沉积,减轻了膜阻力,提高了工艺性能.
科学领域:
- 生物制药制造业 生物制药制造业
- 膜科学与技术 膜科学与技术
- 工艺工程是过程工程.
背景情况:
- 膜污染在细胞培养 perfusion 过程中构成重大挑战,对生物制药制造效率产生负面影响.
- 超浮物中的可见微粒 (<200 nm) 导致膜污染,增加跨膜压力 (TMP) 和阻力.
- 量化粒子负载和了解它们的沉积动态对于优化 perfusion 过程至关重要.
研究的目的:
- 评估一种方法来计算空洞纤维膜的阻力随着时间的推移使用水和超水.
- 用纳米流细胞计量方法量化超浮物中的可见微粒 (<200 nm).
- 开发和应用计算流体动力学 (CFD) 模型,以评估颗粒数量和料流速对膜污染的影响.
主要方法:
- 在不同的时间点计算空洞纤维膜阻力.
- 使用纳米流细胞计量来确定可见粒子计数 (<200 nm).
- 一个CFD模型,包含一个离散阶段模型,模拟粒子沉积和评估TMP变化与料流速.
主要成果:
- 膜阻力和可见粒子数量都在 perfusion 过程持续时间内增加.
- 差价合约模拟表明,在较低的料流速下,颗粒沉积量更大.
- 将料流量从35毫升/分钟增加到300毫升/分钟,使颗粒沉积量减少了50%以上.
结论:
- 可见微粒数量显著影响TMP和膜电阻,在膜污染机制中发挥关键作用.
- CFD建模是预测过程行为和优化参数以最大限度地减少颗粒沉积和污染的宝贵工具.
- 优化料流速对于提高膜清洁性和减少 perfusion 过程中的污染风险至关重要.
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