走向数字实验室的艰难道路
Peter Sagmeister1,2, Jason D Williams3,2, C Oliver Kappe4,2
1Center for Continuous Synthesis and Processing (CCFLOW), Research Center Pharmaceutical Engineering (RCPE), Inffedgasse 13, 8010 Graz. peter.sagmeister@rcpe.at.
Chimia
|December 4, 2023
概括
智能制造通过连续制造和数字化加速制药生产. 具有实时分析的自动流体化学平台,可实现对活性药物成分 (API) 的自我优化和先进的过程控制.
科学领域:
- 制药制造业 制药制造业 制药制造业
- 化学工程是化学工程的重要组成部分.
- 过程化学 过程化学
背景情况:
- 制药行业正在向活性药物成分 (API) 的连续制造过渡.
- 数字化,过程分析技术 (PAT) 和数据丰富的实验是智能制造的关键推动因素.
- 这些技术的早期实施对于高效的发展至关重要.
研究的目的:
- 介绍实现实时过程分析的自动流化学反应堆平台的关键方面.
- 突出这些平台在加速智能制造路线方面的潜力.
- 展示诸如自我优化和自动化模型构建等功能.
主要方法:
- 实现自动化流量化学反应堆平台.
- 集成实时过程分析技术 (PAT).
- 利用数字化和数据丰富的实验.
主要成果:
- 证明了API合成自动化流体化学的可行性.
- 展示了平台进行自我优化和自动化反应模型构建的能力.
- 强调了实施先进的过程控制策略的潜力.
结论:
- 具有实时分析的自动流化学平台对于智能制药制造至关重要.
- 这些系统有助于加快合成路线的开发和优化.
- 数字化和PAT的整合使API生产更加有效和可控.
相关概念视频
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An example of the experimental method is a public clinical trial...
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