Department of Chemical Engineering, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, 110016, India.
Tata Consultancy Services, Mumbai, India.
AAPS J. 2022 Jul 13;24(4):83. doi: 10.1208/s12248-022-00731-z.
Control of single pass tangential flow ultrafiltration (SPTFF) is crucial for continuous manufacturing of monoclonal antibodies (mAbs). Integrating SPTFF technology into continuous manufacturing trains requires successful resolution of several challenges that arise due to the complexity of mass transfer interactions across multi-membrane configurations, the significant effect of feed material attributes and process variability on flux, and the need for advanced scheduling. In this paper, we propose a real-time, automated monitoring and control strategy for SPTFF in continuous processing of mAbs. The approach leverages a previously developed model for predicting the VCF across an SPTFF module based on the gel polarization model of protein ultrafiltration. A distributed control system (DCS) architecture was created for integrating the monitoring sensors and control elements, including NIRS sensors for concentration monitoring, as well as weighing balances, pressure sensors, pumps, and valves. Two different SPTFF control strategies were developed, firstly for final formulation of the drug product into the drug substance (ultrafiltration and diafiltration), and secondly for in-line concentration between two chromatography steps. Case studies were designed with 15 runs to test the strategy with a range of deviations induced in the feed and process conditions. The retentate concentration was controlled to within 10% of the target value in all runs. The combination of real-time sensor data and model-based control effectively enabled automated and tightly controlled operation of the SPTFF step and is a key enabler of quality by design in continuous mAb manufacturing.
单通道切向流超滤(SPTFF)的控制对于单克隆抗体(mAbs)的连续制造至关重要。将 SPTFF 技术集成到连续制造列车中,需要成功解决由于多膜配置中传质相互作用的复杂性、进料材料特性和工艺变异性对通量的显著影响以及对高级调度的需求而产生的几个挑战。在本文中,我们提出了一种用于 mAbs 连续处理的 SPTFF 的实时、自动监控和控制策略。该方法利用了先前开发的基于蛋白质超滤凝胶极化模型预测 SPTFF 模块 VCF 的模型。创建了一个分布式控制系统(DCS)架构,用于集成监测传感器和控制元件,包括用于浓度监测的近红外传感器,以及称重天平、压力传感器、泵和阀门。开发了两种不同的 SPTFF 控制策略,首先是将药物产品最终配方到药物物质(超滤和稀释),其次是在线浓缩两个色谱步骤之间。设计了 15 次运行的案例研究,以在进料和工艺条件发生一系列偏差的情况下测试该策略。所有运行中,浓缩物的浓度均控制在目标值的 10%以内。实时传感器数据和基于模型的控制的结合有效地实现了 SPTFF 步骤的自动化和严格控制,是连续 mAb 制造中质量源于设计的关键推动因素。