当前位置: X-MOL 学术J. Flow Chem. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Self-optimising reactive extractions: towards the efficient development of multi-step continuous flow processes
Journal of Flow Chemistry ( IF 2.7 ) Pub Date : 2020-02-19 , DOI: 10.1007/s41981-020-00086-6
Adam D. Clayton , Luke A. Power , William R. Reynolds , Caroline Ainsworth , David R. J. Hose , Martin F. Jones , Thomas W. Chamberlain , A. John Blacker , Richard A. Bourne

Downstream purification of products and intermediates is essential for the development of continuous flow processes. Described herein, is a study on the use of a modular and reconfigurable continuous flow platform for the self-optimisation of reactive extractions and multi-step reaction-extraction processes. The selective extraction of one amine from a mixture of two similar amines was achieved with an optimum separation of 90%, and in this case, the black-box optimisation approach was superior to global polynomial modelling. Furthermore, this methodology was utilised to simultaneously optimise the continuous flow synthesis and work-up of N-benzyl-α-methylbenzylamine with respect to four variables, resulting in a significantly improved purity.



中文翻译:

自我优化的反应萃取:朝着有效发展多步连续流工艺的方向发展

产品和中间体的下游纯化对于开发连续流程至关重要。本文描述了对模块化和可重构连续流平台用于反应萃取和多步反应萃取过程的自优化的研究。从两种相似的胺的混合物中选择性提取一种胺,最佳分离率为90%,在这种情况下,黑盒优化方法优于全局多项式建模。此外,就四个变量而言,该方法被用于同时优化连续流合成和N-苄基-α-甲基苄基胺的后处理,从而显着提高了纯度。

更新日期:2020-02-19
down
wechat
bug