药品
质量保证
设计质量
制药工业
背景(考古学)
药物
质量(理念)
生化工程
医药制造业
管理科学
药理学
风险分析(工程)
工艺工程
计算机科学
业务
医学
工程类
新产品开发
营销
服务(商务)
古生物学
哲学
认识论
生物
作者
Amandine Dispas,H. Avohou,Pierre Lebrun,Philippe Hubert,Cédric Hubert
标识
DOI:10.1016/j.trac.2017.10.028
摘要
The pharmaceutical industry is highly regulated by quality policies. The concept of risk management is strongly integrated into the quality assurance system to ensure pharmaceuticals' quality and patients' safety. In the context of quality control, the detection of impurities in raw materials and finished products is a major concern. It can be challenging for analytical scientists to meet specificity/selectivity and sensitivity requirements. Obviously, separation techniques are widely used for the detection of impurities but the method development required to achieve Analytical Target Profile (ATP) concerns is often challenging. Therefore, to ensure pragmatic and systematic methods development and simultaneously manage the risk associated with analytical methods, the principles of Quality by Design (QbD) should be applied. This paper provides an overview of QbD principles and statistical strategies (mainly DoE-DS approach) which can be applied to impurity detection methods, as well as a review of the literature where QbD has been applied to these types of analytical methods.
科研通智能强力驱动
Strongly Powered by AbleSci AI