过程分析技术
停留时间分布
工艺工程
医药制造业
自动化
过程(计算)
计算机科学
过程控制
涂层
制造工程
在制品
工程类
机械工程
材料科学
流量(数学)
纳米技术
生物
操作系统
生物信息学
运营管理
几何学
数学
作者
Juan G. Rosas,Peter Brush,Bruce Thompson,Charles E. Miller,Paul Overton,Neil Tugby,Daria Stoliarskaia,Samantha Hurley,Manoharan Ramasamy,Stephen L. Conway
标识
DOI:10.1016/j.ijpharm.2023.122814
摘要
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.
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