Data-Led Suzuki-Miyaura Reaction Optimization: Development of a Short Course for Postgraduate Synthetic Chemists

数据驱动的铃木-宫浦反应优化:面向研究生合成化学家的短期课程开发

阅读:1

Abstract

A two-day workshop activity is described in which postgraduate students are introduced to (i) the theory and application of Design-of-Experiments (DOE) approaches and (ii) the implementation of affordable automation technologies and related data analysis of a system of catalytic interest. This work involved the design and delivery of a short lecture to introduce the theory of DOE followed by practical demonstrations of the application of automation technologies. Specifically, a fractional factorial design was used to interrogate the input space-base, solvent, temperature, time-of the Suzuki-Miyaura cross-coupling (SMCC) of para-bromoanisole and para-fluorophenylboronic acid using automated solid and liquid handling robots and online HPLC analysis. This was supplemented by a second lecture following data acquisition in which the collected HPLC data was analyzed. The workshop was delivered to a cohort of 15 students at the postgraduate level. Pleasingly, students demonstrated a high degree of engagement with this course structure and reported an increased theoretical understanding of DOE approaches to reaction optimization.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。