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

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 <i>para</i>-bromoanisole and <i>para</i>-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.

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Publication Details

Journal
Journal of Chemical Education
Published
2025-01-22
DOI
https://doi.org/10.1021/acs.jchemed.4c01194
Citations
1
Primary Topic
Catalytic Cross-Coupling Reactions
Type
article
Field-Weighted Citation Impact
0.94

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article

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

Barnabas A. Franklin, Peter O’Brien, Christopher S. Horbaczewskyj, Ian J. S. Fairlamb et al.
1 citations
Journal of Chemical Education
Catalytic Cross-Coupling Reactions
0.94
article

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

Barnabas A. Franklin, Peter O’Brien, Christopher S. Horbaczewskyj, Ian J. S. Fairlamb, Jacob J. Walder, Stuart C. Smith, James D’Souza Metcalf
article en
1 citations

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 <i>para</i>-bromoanisole and <i>para</i>-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.

Journal of Chemical EducationVol. 102(2)
University of York (GB)
AstraZeneca, GlaxoSmithKline, University of York, Royal Society, Engineering and Physical Sciences Research Council
Openalex Percentile: Top 30%
Catalytic Cross-Coupling Reactions
0.94
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Data-Led Suzuki-Miyaura Reaction Optimization: Development of a Short Course for Postgraduate Synthetic Chemists — Barnabas A. Franklin, Peter O’Brien, et al. · Journal of Chemical Education (2025) | TGRS Research Map | TGRS