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在一家商业制药厂实施完全集成的CM直接压片和包衣工艺 - 第2部分:正常操作条件批次的PAT和RTD结果

Implementation of a fully integrated CM direct compression and coating process at a commercial pharmaceutical facility - Part 2: PAT and RTD results for normal operational conditions batches.

作者信息

Rosas Juan G, Brush Peter, Thompson Bruce, Miller Charles, Overton Paul, Tugby Neil, Stoliarskaia Daria, Hurley Samantha, Ramasamy Manoharan, Conway Stephen L

机构信息

MSD, Pharmaceutical Technical Operations PAT, UK.

Merck & Co. Inc, Analytical Chemistry in Development and Supply PAT, United States.

出版信息

Int J Pharm. 2023 Apr 5;636:122814. doi: 10.1016/j.ijpharm.2023.122814. Epub 2023 Mar 12.

DOI:10.1016/j.ijpharm.2023.122814
PMID:36918116
Abstract

This is the second of two articles detailing the continuous manufacturing (CM) development and implementation activities for an marketed product which have been realized in novel, qualified equipment, using validated control strategy elements to enable manufacture of batches under current good manufacturing practices (cGMP) and compliant with data integrity principles. Here, the application of process analytical technologies (PAT) and automation tools on batches produced under normal operational conditions is reviewed. The results from residence time distribution (RTD) models for predicting API concentration, in-line near infrared (NIR) testing of blend uniformity (BU) and at-line NIR spectroscopy analysis of core tablet concentration and tablet identity for real-time release testing (RTRT) are discussed. The influences of process equipment and design choices on NIR and RTD model variability, as well as the use of the PAT tools for monitoring the evolving properties understanding of CM process development, such as overcoming flow instabilities, is described. Results demonstrate that the RTD and NIR models developed and validated are robust to operating conditions and are critical for assuring steady state control of the continuous manufacturing process. Finally, the NIR and RTD model lifecycle, including procedures for necessary and normal model upgrades in a cGMP production environment, are presented.

摘要

这是两篇文章中的第二篇,详细介绍了针对一种已上市产品的连续制造(CM)开发与实施活动,这些活动是在新型的、经过验证的设备中实现的,运用了经过验证的控制策略要素,以确保在现行良好生产规范(cGMP)下生产批次,并符合数据完整性原则。在此,对过程分析技术(PAT)和自动化工具在正常操作条件下生产的批次中的应用进行了综述。讨论了用于预测原料药浓度的停留时间分布(RTD)模型的结果、混合均匀度(BU)的在线近红外(NIR)测试以及用于实时放行测试(RTRT)的片芯片剂浓度和片剂鉴别在线近红外光谱分析。描述了工艺设备和设计选择对近红外和RTD模型变异性的影响,以及使用PAT工具监测连续制造工艺开发不断演变的特性理解,如克服流动不稳定性。结果表明,所开发和验证的RTD和近红外模型对操作条件具有稳健性,对于确保连续制造过程的稳态控制至关重要。最后,介绍了近红外和RTD模型的生命周期,包括在cGMP生产环境中进行必要和正常模型升级的程序。

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