Process Analytical Technology, continuous manufacturing, and the development of a surrogate model for dissolution: a pharmaceutical manufacturing statistical engineering case study

IF 1.3 4区 工程技术 Q4 ENGINEERING, INDUSTRIAL
S. Altan, H. Coppenolle, L. Hare, Sarah Nielsen, Martin Otava
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引用次数: 0

Abstract

Abstract Statistical engineering is a recent movement that seeks to promote a systematic application of statistical tools combined with a comprehensive view of project management to solve important commercial problems. We discuss how statistical engineering principles were applied in the development of a surrogate model for dissolution (also referred to as in vitro release), an important physical property of solid dose pharmaceutical products required for marketing. The approach relies on spectroscopic analytical methods, referred to more generally as Process Analytic Technology, to enable monitoring of a batch of pharmaceutical product in real time. Real time release (RTR) is the release to the market of a batch of final product, nearly immediately after its production, rather than the weeks to months currently needed using conventional wet chemistry analytical methods. The development of a surrogate model advances the goal of RTR of a batch of pharmaceutical product, and the application of statistical engineering tools enhances a coherent development process as illustrated in a case study.
过程分析技术、连续制造和溶出度替代模型的发展:一个制药制造统计工程案例研究
统计工程是最近的一项运动,旨在促进统计工具的系统应用,并结合项目管理的综合观点,以解决重要的商业问题。我们讨论了统计工程原理如何应用于溶出度(也称为体外释放)的替代模型的开发,这是营销所需的固体剂量药物产品的重要物理特性。该方法依赖于光谱分析方法,通常称为过程分析技术,以实现对一批药品的实时监测。实时释放(RTR)是指一批最终产品在生产后几乎立即向市场释放,而不是目前使用传统湿化学分析方法所需的几周到几个月。代理模型的开发推进了一批药品RTR的目标,统计工程工具的应用增强了一个连贯的开发过程,如一个案例研究所示。
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来源期刊
Quality Engineering
Quality Engineering ENGINEERING, INDUSTRIAL-STATISTICS & PROBABILITY
CiteScore
3.90
自引率
10.00%
发文量
52
审稿时长
>12 weeks
期刊介绍: Quality Engineering aims to promote a rich exchange among the quality engineering community by publishing papers that describe new engineering methods ready for immediate industrial application or examples of techniques uniquely employed. You are invited to submit manuscripts and application experiences that explore: Experimental engineering design and analysis Measurement system analysis in engineering Engineering process modelling Product and process optimization in engineering Quality control and process monitoring in engineering Engineering regression Reliability in engineering Response surface methodology in engineering Robust engineering parameter design Six Sigma method enhancement in engineering Statistical engineering Engineering test and evaluation techniques.
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