Biologics Development and Operations, Bristol Myers Squibb Company, Devens, MA 01434, USA.
Manufacturing Science and Technology Biologics, Bristol Myers Squibb Company, Mulhuddart, Ireland.
J Biotechnol. 2024 May 20;387:79-88. doi: 10.1016/j.jbiotec.2024.02.006. Epub 2024 Apr 4.
Among all the operating parameters that control the cell culture environment inside bioreactors, appropriate mixing and aeration are crucial to ensure sufficient oxygen supply, homogeneous mixing, and CO stripping. A model-based manufacturing facility fit approach was applied to define agitation and bottom air flow rates during the process scale-up from laboratory to manufacturing, of which computational fluid dynamics (CFD) was the core modeling tool. The realizable k-ε turbulent dispersed Eulerian gas-liquid flow model was established and validated using experimental values for the volumetric oxygen transfer coefficient (ka). Model validation defined the process operating parameter ranges for application of the model, identified mixing issues (e.g., impeller flooding, dissolved oxygen gradients, etc.) and the impact of antifoam on ka. Using the CFD simulation results as inputs to the models for oxygen demand, gas entrance velocity, and CO stripping aided in the design of the agitation and bottom air flow rates needed to meet cellular oxygen demand, control CO levels, mitigate risks for cell damage due to shear, foaming, as well as fire hazards due to high O levels in the bioreactor gas outlet. The recommended operating conditions led to the completion of five manufacturing runs with a 100% success rate. This model-based approach achieved a seamless scale-up and reduced the required number of at-scale development batches, resulting in cost and time savings of a cell culture commercialization process.
在所有控制生物反应器内细胞培养环境的操作参数中,适当的混合和曝气对于确保充足的氧气供应、均匀混合和 CO 去除至关重要。采用基于模型的制造设施适配方法,在从实验室到生产的工艺放大过程中定义搅拌和底部气流率,其中计算流体动力学(CFD)是核心建模工具。建立了可实现的 k-ε 湍流离散欧拉气液流动模型,并使用体积氧传递系数(ka)的实验值进行了验证。模型验证定义了模型应用的工艺操作参数范围,确定了混合问题(例如,叶轮淹没、溶解氧梯度等)以及消泡剂对 ka 的影响。将 CFD 模拟结果作为氧气需求、气体入口速度和 CO 去除模型的输入,有助于设计搅拌和底部气流率,以满足细胞的氧气需求、控制 CO 水平、减轻因剪切、泡沫形成以及生物反应器气体出口中高氧气水平而导致的细胞损伤风险。推荐的操作条件导致完成了五次制造运行,成功率为 100%。这种基于模型的方法实现了无缝放大,并减少了对放大批次的需求数量,从而节省了细胞培养商业化过程的成本和时间。