工艺验证
计算机科学
关键质量属性
工艺工程
过程分析技术
设计质量
统计过程控制
过程(计算)
可靠性工程
产品(数学)
质量(理念)
稳健性(进化)
生化工程
过程能力
新产品开发
制造工程
在制品
运营管理
数学
化学
工程类
业务
哲学
营销
生物化学
几何学
操作系统
认识论
基因
作者
Abirami Natesh,Denise Miller
标识
DOI:10.5731/pdajpst.2025.25402
摘要
The 2011 FDA Guidance for Industry, "Process Validation: General Principles and Practices," emphasizes maintaining control of manufacturing processes throughout the product lifecycle through constant reevaluation. For lyophilized drug products, Critical Quality Attributes (CQAs) identified in Stage 1 can be effectively trended and reported annually. However, monitoring Critical Process Parameters (CPPs) such as shelf temperature, chamber pressure, and time presents greater challenges. Methods like comparing actual variation to averages, targets, or proven acceptable ranges (PARs) are defined in Stage 1, validated in Stage 2, and continually assured in Stage 3. Demonstrating a state of control for lyophilization parameters is vital, yet complex. Previously, classical statistical methods were used to evaluate process variability by analyzing data from multiple batches of the same product. These techniques revealed actionable insights into maintaining consistent control. However, in a multiple product facility, utilizing multiple methods to analyze various products can be inexpedient. Expanding on previous research, various batches of lyophilized products were assessed to verify the relative robustness of a specific statistical methodology for the sake of efficiency. This analysis underscores the importance of continual monitoring in lyophilization to ensure product quality and regulatory compliance.
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