微尺度化学
光催化
光催化
工艺工程
流动化学
计算机科学
比例(比率)
吞吐量
过程(计算)
生化工程
鉴定(生物学)
流量(数学)
连续反应器
纳米技术
连续流动
化学
材料科学
催化作用
工程类
数学
量子力学
数学教育
植物
生物
生物化学
物理
电信
无线
几何学
操作系统
作者
María González‐Esguevillas,David F. Fernández,Juan A. Rincón,Mario Barberis,Óscar de Frutos,Carlos Mateos,Susana Garcı́a-Cerrada,Javier Agejas,David W. C. MacMillan
出处
期刊:ACS central science
[American Chemical Society]
日期:2021-06-08
卷期号:7 (7): 1126-1134
被引量:45
标识
DOI:10.1021/acscentsci.1c00303
摘要
Photoredox catalysis has emerged as a powerful and versatile platform for the synthesis of complex molecules. While photocatalysis is already broadly used in small-scale batch chemistry across the pharmaceutical sector, recent efforts have focused on performing these transformations in process chemistry due to the inherent challenges of batch photocatalysis on scale. However, translating optimized batch conditions to flow setups is challenging, and a general approach that is rapid, convenient, and inexpensive remains largely elusive. Herein, we report the development of a new approach that uses a microscale high-throughput experimentation (HTE) platform to identify optimal reaction conditions that can be directly translated to flow systems. A key design point is to simulate the flow-vessel pathway within a microscale reaction plate, which enables the rapid identification of optimal flow reaction conditions using only a small number of simultaneous experiments. This approach has been validated against a range of widely used photoredox reactions and, importantly, was found to translate accurately to several commercial flow reactors. We expect that the generality and operational efficiency of this new HTE approach to photocatalysis will allow rapid identification of numerous flow protocols for scale.
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