Bioproduct Research and Development, Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana, USA.
Biotechnol Prog. 2021 Mar;37(2):e3106. doi: 10.1002/btpr.3106. Epub 2020 Dec 14.
Ultrafiltration/diafiltration (UF/DF) is a typical step in protein drug manufacturing process to concentrate and exchange the protein solution into a desired formulation. However, significant offset of pH and composition from the target formulation have been frequently observed after UF/DF, posing challenges to the stability, performance, and consistency of the final drug product. Such shift can often be attributed to the Donnan and volume exclusion effects. In order to predict and compensate for those effects, a mechanistic model is developed based on the protein charge, mass and charge balances, as well as the equilibrium condition across the membrane. The integrated UF/DF model can be used to predict both the dynamic behavior and the final outcome of the process. Examples of the modeling results for the pH and composition variation during the UF/DF operations are presented for two monoclonal antibody proteins. The model predictions are in good agreement with a comprehensive experimental data set that covers different process steps, protein concentrations, solution matrices, and process scales. The results show that significant pH and excipient concentration shifts are more likely to occur for high protein concentration and low ionic strength matrices. As a special example, a self-buffering protein formulation shows unique pH behavior during DF, which could also be captured with the dynamic model. The capability of the model in predicting the performance of UF/DF process as a function of protein characteristics and formulation conditions makes it a useful tool to improve process understanding and facilitate process development.
超滤/渗滤(UF/DF)是蛋白质药物生产过程中的典型步骤,用于浓缩蛋白质溶液并将其交换到所需的制剂中。然而,在 UF/DF 之后,经常会观察到 pH 值和组成与目标制剂显著偏移,这对最终药物产品的稳定性、性能和一致性构成挑战。这种偏移通常归因于道南和体积排除效应。为了预测和补偿这些效应,基于蛋白质电荷、质量和电荷平衡以及膜两侧的平衡条件,开发了一种机械模型。该集成的 UF/DF 模型可用于预测过程的动态行为和最终结果。针对两种单克隆抗体蛋白质,展示了 UF/DF 操作过程中 pH 值和组成变化的建模结果示例。模型预测与涵盖不同工艺步骤、蛋白质浓度、溶液基质和工艺规模的综合实验数据集吻合良好。结果表明,对于高蛋白质浓度和低离子强度基质,更可能发生显著的 pH 值和赋形剂浓度偏移。作为一个特殊示例,自缓冲蛋白质制剂在 DF 过程中表现出独特的 pH 值行为,这也可以通过动态模型捕捉到。该模型在预测 UF/DF 过程性能作为蛋白质特性和制剂条件函数方面的能力使其成为一种有用的工具,可以帮助提高工艺理解并促进工艺开发。