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利用停留时间分布(RTDs)解决连续制药生产中原材料的可追溯性问题。

Using Residence Time Distributions (RTDs) to Address the Traceability of Raw Materials in Continuous Pharmaceutical Manufacturing.

作者信息

Engisch William, Muzzio Fernando

机构信息

Department of Chemical and Biochemical Engineering, Rutgers University, 98 Brett Rd., Piscataway, NJ 08854 USA.

出版信息

J Pharm Innov. 2016;11:64-81. doi: 10.1007/s12247-015-9238-1. Epub 2015 Nov 14.

Abstract

Continuous processing in pharmaceutical manufacturing is a relatively new approach that has generated significant attention. While it has been used for decades in other industries, showing significant advantages, the pharmaceutical industry has been slow in its adoption of continuous processing, primarily due to regulatory uncertainty. This paper aims to help address these concerns by introducing methods for batch definition, raw material traceability, and sensor frequency determination. All of the methods are based on established engineering and mathematical principles, especially the residence time distribution (RTD). This paper introduces a risk-based approach to address content uniformity challenges of continuous manufacturing. All of the detailed methods are discussed using a direct compaction manufacturing line as the main example, but the techniques can easily be applied to other continuous manufacturing methods such as wet and dry granulation, hot melt extrusion, capsule filling, etc.

摘要

制药生产中的连续加工是一种相对较新的方法,已引起广泛关注。虽然它在其他行业已使用数十年并显示出显著优势,但制药行业在采用连续加工方面进展缓慢,主要原因是监管方面的不确定性。本文旨在通过介绍批次定义、原材料可追溯性和传感器频率确定方法来帮助解决这些问题。所有这些方法都基于既定的工程和数学原理,特别是停留时间分布(RTD)。本文介绍了一种基于风险的方法来应对连续制造中的含量均匀性挑战。所有详细方法均以直接压片生产线为例进行讨论,但这些技术可轻松应用于其他连续制造方法,如湿法制粒、干法制粒、热熔挤出、胶囊填充等。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc8a/4759219/6a1417687524/12247_2015_9238_Fig1_HTML.jpg

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