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连续制药生产中的控制系统工程 2014年5月20 - 21日 连续制造研讨会

Control Systems Engineering in Continuous Pharmaceutical Manufacturing May 20-21, 2014 Continuous Manufacturing Symposium.

作者信息

Myerson Allan S, Krumme Markus, Nasr Moheb, Thomas Hayden, Braatz Richard D

机构信息

Massachusetts Institute of Technology, Cambridge, Massachusetts 02139.

Novartis Pharma AG, Basel 4056, Switzerland.

出版信息

J Pharm Sci. 2015 Mar;104(3):832-839. doi: 10.1002/jps.24311. Epub 2016 Jan 8.

Abstract

This white paper provides a perspective of the challenges, research needs, and future directions for control systems engineering in continuous pharmaceutical processing. The main motivation for writing this paper is to facilitate the development and deployment of control systems technologies so as to ensure quality of the drug product. Although the main focus is on small-molecule pharmaceutical products, most of the same statements apply to biological drug products. An introduction to continuous manufacturing and control systems is followed by a discussion of the current status and technical needs in process monitoring and control, systems integration, and risk analysis. Some key points are that: (1) the desired objective in continuous manufacturing should be the satisfaction of all critical quality attributes (CQAs), not for all variables to operate at steady-state values; (2) the design of start-up and shutdown procedures can significantly affect the economic operation of a continuous manufacturing process; (3) the traceability of material as it moves through the manufacturing facility is an important consideration that can at least in part be addressed using residence time distributions; and (4) the control systems technologies must assure quality in the presence of disturbances, dynamics, uncertainties, nonlinearities, and constraints. Direct measurement, first-principles and empirical model-based predictions, and design space approaches are described for ensuring that CQA specifications are met. Ways are discussed for universities, regulatory bodies, and industry to facilitate working around or through barriers to the development of control systems engineering technologies for continuous drug manufacturing. Industry and regulatory bodies should work with federal agencies to create federal funding mechanisms to attract faculty to this area. Universities should hire faculty interested in developing first-principles models and control systems technologies for drug manufacturing that are easily transportable to industry. Industry can facilitate the move to continuous manufacturing by working with universities on the conception of new continuous pharmaceutical manufacturing process unit operations that have the potential to make major improvements in product quality, controllability, or reduced capital and/or operating costs. Regulatory bodies should ensure that: (1) regulations and regulatory practices promote, and do not derail, the development and implementation of continuous manufacturing and control systems engineering approaches; (2) the individuals who approve specific regulatory filings are sufficiently trained to make good decisions regarding control systems approaches; (3) provide regulatory clarity and eliminate/reduce regulatory risks; (4) financially support the development of high-quality training materials for use of undergraduate students, graduate students, industrial employees, and regulatory staff; (5) enhance the training of their own technical staff by financially supporting joint research projects with universities in the development of continuous pharmaceutical manufacturing processes and the associated control systems engineering theory, numerical algorithms, and software; and (6) strongly encourage the federal agencies that support research to fund these research areas. © 2014 Wiley Periodicals, Inc. and the American Pharmacists Association.

摘要

本白皮书阐述了连续制药过程中控制系统工程面临的挑战、研究需求及未来发展方向。撰写本文的主要目的是推动控制系统技术的开发与应用,以确保药品质量。尽管本文主要聚焦于小分子药品,但大部分内容同样适用于生物药品。在介绍连续制造和控制系统之后,讨论了过程监测与控制、系统集成以及风险分析的现状和技术需求。一些要点包括:(1)连续制造的理想目标应是满足所有关键质量属性(CQA),而非所有变量都运行在稳态值;(2)启动和关闭程序的设计会显著影响连续制造过程的经济运行;(3)物料在制造设施中流动时的可追溯性是一个重要考量因素,至少部分可通过停留时间分布来解决;(4)控制系统技术必须在存在干扰、动态特性、不确定性、非线性和约束的情况下确保质量。描述了直接测量、基于第一原理和经验模型的预测以及设计空间方法,以确保满足CQA规范。讨论了大学、监管机构和行业促进克服或绕过连续药品制造控制系统工程技术开发障碍的方法。行业和监管机构应与联邦机构合作,创建联邦资助机制,吸引教师投身该领域。大学应聘用对开发易于转化至行业的药品制造第一原理模型和控制系统技术感兴趣的教师。行业可通过与大学合作构思新的连续制药制造工艺单元操作来推动向连续制造的转变,这些操作有望在产品质量、可控性或降低资本和/或运营成本方面取得重大改进。监管机构应确保:(1)法规和监管实践促进而非阻碍连续制造和控制系统工程方法的开发与实施;(2)批准特定监管申报的人员接受充分培训,以便就控制系统方法做出明智决策;(3)提供监管清晰度并消除/降低监管风险;(4)在经济上支持开发供本科生、研究生、行业员工和监管人员使用的高质量培训材料;(5)通过资助与大学联合开展的研究项目,加强对自身技术人员的培训,这些项目涉及连续制药制造工艺及相关控制系统工程理论、数值算法和软件的开发;(6)大力鼓励支持研究的联邦机构为这些研究领域提供资金。© 2014 威利期刊公司和美国药剂师协会。

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