动态采样在自主过程优化中的动态采样
Melodie Christensen1,2, Yuting Xu2, Eugene E Kwan2
1Department of Chemistry, University of British Columbia Vancouver British Columbia V6T 1Z1 Canada jhein@chem.ubc.ca.
Chemical science
|May 17, 2024
概括
自主过程优化 (APO) 现在使用批量反应器的动态终点,改善反应监控. 该方法捕获稳定的产品纯度,克服静态采样限制,以更好地控制工艺.
科学领域:
- 化学工程是化学工程的重要组成部分.
- 过程化学 过程化学
- 自动化 自动化 自动化
背景情况:
- 自主流程优化 (APO) 越来越多地用于处理过程挑战.
- 现有的APO方法通常依赖于固定的采样时间,这可能会错过关键反应动态.
- 由于静态采样限制,高吞吐量批量反应堆对APO提出了独特的挑战.
研究的目的:
- 在高吞吐量批量反应堆中实施APO的动态反应终点确定策略.
- 为了解决静态时间点采样在捕获过程性能方面的局限性.
- 提高APO工作流程的准确性和可靠性.
主要方法:
- 将实时高原检测算法集成到APO工作流中.
- 利用基于过程流稳定的动态反应终点确定.
- 将该策略应用于光反应的自主优化.
主要成果:
- 对于所需的单化产品,UPLC区域纯度达到了85%.
- 通过动态确定反应终点,尽量减少产品分解.
- 量化了个别参数对工艺性能的影响.
结论:
- 在APO工作流程中采用动态采样可以提高对稳定和高性能流程的优化.
- 实时平原检测可在动态终点上准确测量产品纯度.
- 这种方法对于优化复杂的反应是有价值的,例如药物中间体.
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