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

Stuart Smith, Barnabas Franklin, Christopher S. Horbaczewskyj, James Metcalf, Jacob Walder, Peter Andrew O'Brien, Ian James Stewart Fairlamb*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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 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 postgraduate level. Pleasingly, students demonstrated a high degree of engagement with this course structure and reported increased theoretical understanding of Design-of-Experiments approaches to reaction optimization.
Original languageEnglish
Pages (from-to)1-15
Number of pages15
JournalJOURNAL OF CHEMICAL EDUCATION
Publication statusAccepted/In press - 9 Jan 2025

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