计算机科学
分析
可比性
集合(抽象数据类型)
质量(理念)
科学仪器
良好实验室规范
风险分析(工程)
软件工程
数据科学
运营管理
工程类
质量保证
医学
哲学
物理
外部质量评估
数学
认识论
组合数学
量子力学
程序设计语言
作者
Anne B. Ries,Marie Merkel,Kristina Coßmann,M. Paul,Robin Grunwald,Daniel Klemmer,Florian Hübner,Sabine Eggensperger,F. Weiss
摘要
ABSTRACT In pharmaceutical quality control (QC), analytical methods need to maintain release analytics over decades. Over a product's lifecycle, vendors may update instrument hardware and/or software, or a switch between vendors may become necessary upon discontinuation of an instrument. Both situations pose a challenge to pharmaceutical QC.We designed an efficient instrument comparability study to gain a comprehensive understanding of potential performance differences between instruments and therefore rationalize the risk assessment and decision process for a path forward. The results may either point out whether a full or partial re‐validation is necessary or whether a science‐based update can be pursued based on the data generated in the study. The study design is universally applicable to a substantial range of release analytical methods. In a straightforward setup of two experiments with the new instrument, a statistically meaningful data set is generated for comparison with available historical or validation data of the original instrument. In a Good Manufacturing Practice (GMP) environment, we implemented the study design in a benchmark study comparing the ICE3 and Maurice C imaged capillary isoelectric focusing (icIEF) instruments. The core‐study confirmed equal or better performance of the Maurice C in all parameters and serves as a basis for seamless continuation of release icIEF measurements on Maurice C.
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