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质量源于设计案例研究:药品和工艺开发的综合多元方法。

Quality by design case study: an integrated multivariate approach to drug product and process development.

机构信息

Pharmaceutical Development Center, Wyeth Pharmaceuticals, 401 N Middletown Rd, Pearl River, NY 10965, USA.

出版信息

Int J Pharm. 2009 Dec 1;382(1-2):23-32. doi: 10.1016/j.ijpharm.2009.07.031. Epub 2009 Aug 5.

Abstract

To facilitate an in-depth process understanding, and offer opportunities for developing control strategies to ensure product quality, a combination of experimental design, optimization and multivariate techniques was integrated into the process development of a drug product. A process DOE was used to evaluate effects of the design factors on manufacturability and final product CQAs, and establish design space to ensure desired CQAs. Two types of analyses were performed to extract maximal information, DOE effect & response surface analysis and multivariate analysis (PCA and PLS). The DOE effect analysis was used to evaluate the interactions and effects of three design factors (water amount, wet massing time and lubrication time), on response variables (blend flow, compressibility and tablet dissolution). The design space was established by the combined use of DOE, optimization and multivariate analysis to ensure desired CQAs. Multivariate analysis of all variables from the DOE batches was conducted to study relationships between the variables and to evaluate the impact of material attributes/process parameters on manufacturability and final product CQAs. The integrated multivariate approach exemplifies application of QbD principles and tools to drug product and process development.

摘要

为了深入了解工艺过程,并提供开发控制策略的机会以确保产品质量,在药物产品的工艺开发中结合了实验设计、优化和多元技术。工艺 DOE 用于评估设计因素对可制造性和最终产品 CQA 的影响,并建立设计空间以确保所需的 CQA。进行了两种类型的分析以提取最大信息,即 DOE 效应和响应面分析以及多元分析(PCA 和 PLS)。DOE 效应分析用于评估三个设计因素(水量、湿混时间和润滑时间)对响应变量(混合流、可压缩性和片剂溶出度)的相互作用和影响。通过 DOE、优化和多元分析的结合使用来建立设计空间,以确保所需的 CQA。对 DOE 批次的所有变量进行多元分析,以研究变量之间的关系,并评估材料属性/工艺参数对可制造性和最终产品 CQA 的影响。这种集成的多元方法体现了 QbD 原则和工具在药物产品和工艺开发中的应用。

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