Self-optimising reactive extractions: towards the efficient development of multi-step continuous flow processes
Self-optimising reactive extractions: towards the efficient development of multi-step continuous flow processes
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自优化反应萃取--迈向多步连续流程的高效发展
DOI：
10.1007/s41981-020-00086-6
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发表时间：
2020-02-19
影响因子：
2.7
通讯作者：
Bourne, Richard A.
中科院分区：
文献类型：
--
作者：
Clayton, Adam D.;Power, Luke A.;Bourne, Richard A.
产品和中间体的下游纯化对于连续流工艺的开发至关重要。本文描述的是关于使用模块化和可重新配置的连续流平台进行反应萃取和多步反应萃取过程的自优化的研究。从两种类似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，黑箱优化方法上级全局多项式建模。此外，该方法被用于同时优化N-苄基-α-甲基苄胺的连续流合成和后处理，这四个变量，导致显着提高纯度。
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-alpha-methylbenzylamine with respect to four variables, resulting in a significantly improved purity.