Biopharmaceutical Product Sciences, GlaxoSmithKline, 1250 S Collegeville Road, Collegeville, Pennsylvania 19425.
Product and Process Engineering, GlaxoSmithKline, GSK David Jack Centre for R&D, Park Road, Ware, Hertfordshire SG12 0DP, UK.
J Pharm Sci. 2019 Dec;108(12):3932-3937. doi: 10.1016/j.xphs.2019.09.001. Epub 2019 Sep 12.
MilliporeSigma recently introduced a new magnetically coupled single-use mixing system (Mobius® Power MIX) for more efficient mixing of buffers and media in biopharmaceutical applications. Experimental and computational fluid dynamics (CFD) assessments were performed on the Power MIX 100 system to understand product quality impact, shear, and mixing efficiency. It was interesting to note slightly higher submicron (0.4-1 μm) and subvisible (1-54 μm) particle formation at the lower mixing speed (50 RPM) compared to higher mixing speeds (100/200 RPM). Mixing speed and time showed negligible impact on the other product quality attributes tested, including protein concentration, turbidity, general appearance, purity, and soluble aggregates. The CFD simulations provided useful information with respect to the impact of batch size (20-100 L), viscosity (2-50 cP), and impeller speed (100-300 RPM) on mixing time (mixing time ranged from 10 to 365 s) and shear (maximum shear rate was found to be localized around the impeller and it was about 30,260 s, whereas the average shear rate ranged from 4 to 36 s). Statistical analysis of the CFD results showed that natural-log transformation and quadratic fitting were found to be suitable statistical models to predict mixing time and shear within the design space of the parameters assessed in the present study.
密理博最近推出了一种新型的磁力偶联一次性混合系统(Mobius® Power MIX),用于提高生物制药应用中缓冲液和培养基的混合效率。对 Power MIX 100 系统进行了实验和计算流体动力学(CFD)评估,以了解产品质量影响、剪切和混合效率。有趣的是,与较高的混合速度(100/200 RPM)相比,较低的混合速度(50 RPM)下略微会形成更高的亚微米(0.4-1 μm)和亚可见(1-54 μm)颗粒。混合速度和时间对其他测试的产品质量属性几乎没有影响,包括蛋白质浓度、浊度、外观、纯度和可溶性聚集体。CFD 模拟提供了有关批次大小(20-100 L)、粘度(2-50 cP)和叶轮速度(100-300 RPM)对混合时间(混合时间范围为 10-365 s)和剪切(最大剪切率发现集中在叶轮周围,约为 30,260 s,而平均剪切率范围为 4-36 s)的影响的有用信息。对 CFD 结果的统计分析表明,自然对数变换和二次拟合被发现是适合预测混合时间和剪切的统计模型,适用于本研究评估的参数设计空间内。