工艺验证
过程(计算)
工艺工程
统计过程控制
计算机科学
批处理
过程分析技术
验证和确认
质量(理念)
控制图
质量保证
产品(数学)
数据验证
在制品
工程类
数学
运营管理
数据库
哲学
操作系统
认识论
程序设计语言
外部质量评估
几何学
作者
Feroz Jameel,Alina Alexeenko,Akhilesh Bhambhani,Gregory A. Sacha,Tong Zhu,Serguei Tchessalov,Puneet Sharma,Ehab M. Moussa,Lavanya K. Iyer,Sumit Luthra,Heather E. Burks,Ted Tharp,Joseph Azzarella,Petr Kazarin,Mehfouz Jalal
出处
期刊:AAPS advances in the pharmaceutical sciences series
日期:2023-01-01
卷期号:: 513-539
标识
DOI:10.1007/978-3-031-12634-5_27
摘要
This work describes the lyophilization process validation and consists of two parts. Part I (Part I: Process Design and Modeling) focuses on the process design and is described in the previous paper, while the current paper is devoted to process qualification and continued process verification. The goal of the study is to show the cutting edge of lyophilization validation based on the integrated community-based opinion and the industrial perspective. This study presents best practices for batch size determination and includes the effect of batch size on drying time, process parameters selection strategies, and batch size overage to compensate for losses during production. It also includes sampling strategies to demonstrate batch uniformity as well as the use of statistical models to ensure adequate sampling. Based on the LyoHUB member organizations survey, the best practices in determining the number of PPQ runs are developed including the bracketing approach with minimum and maximum loads. Standard practice around CQA and CPP selection is outlined and shows the advantages of using control charts and run charts for process trending and quality control. The case studies demonstrating the validation strategy for monoclonal antibody and the impact of the loading process on the lyophilization cycle and product quality as well as the special case of lyophilization for dual-chamber cartridge system are chosen to illustrate the process validation. The standard practices in the validation of the lyophilization process, special lyophilization processes, and their impact on the validation strategy are discussed.
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