Analytical Research and Development, MRL, Merck & Co., Inc., Rahway, New Jersey 07065, United States.
Thermo Fisher Scientific, 168 Third Avenue, Waltham, Massachusetts 02451, United States.
Anal Chem. 2023 Dec 12;95(49):18130-18138. doi: 10.1021/acs.analchem.3c03528. Epub 2023 Nov 28.
Real-time monitoring of biopharmaceutical reactors is becoming increasingly important as the processes become more complex. During the continuous manufacturing of monoclonal antibodies (mAbs), the desired mAb product is continually created and collected over a 30 day process, where there can be changes in quality over that time. Liquid chromatography (LC) is the workhorse instrumentation capable of measuring mAb concentration as well as quality attributes such as aggregation, charge variants, oxidation, etc. However, traditional offline sampling is too infrequent to fully characterize bioprocesses, and the typical time from sample generation to data analysis and reporting can take weeks. To circumvent these limitations, an automated online sampling multidimensional workflow was developed to enable streamlined measurements of mAb concentration, aggregation, and charge variants. This analytical framework also facilitates automated data export for real-time analysis of up to six bioreactors, including feedback-controlling capability using readily available LC technology. This workflow increases the data points per bioreactor, improving the understanding of each experiment while also reducing the data turnaround time from weeks to hours. Examples of effective real-time analyses of mAb critical quality attributes are illustrated, showing substantial throughput improvements and accurate results while minimizing labor and manual intervention.
随着生物制药工艺变得越来越复杂,实时监测变得愈发重要。在单克隆抗体(mAb)的连续生产过程中,期望的 mAb 产物在 30 天的过程中不断被创造和收集,在此期间,质量可能会发生变化。液相色谱(LC)是一种能够测量 mAb 浓度以及聚集、电荷变异体、氧化等质量属性的主力仪器。然而,传统的离线采样过于稀少,无法充分描述生物工艺,从生成样品到数据分析和报告的典型时间可能需要数周。为了规避这些限制,开发了一种自动化在线采样多维工作流程,以实现 mAb 浓度、聚集和电荷变异体的简化测量。该分析框架还促进了 mAb 浓度、聚集和电荷变异体的自动数据导出,用于多达六个生物反应器的实时分析,包括使用现成的 LC 技术进行反馈控制的能力。该工作流程增加了每个生物反应器的数据点,在提高每个实验理解程度的同时,将数据周转时间从数周缩短至数小时。展示了 mAb 关键质量属性的有效实时分析示例,表明在最小化劳动力和人工干预的同时,实现了显著的高通量改进和准确的结果。