Abstract
This paper describes the synthesis and catalytic testing of a palladium complex with a 5-membered chelating [N,O] ligand, derived from the condensation of 2,6-diisopropylphenyl aniline and maple lactone. This catalyst was active towards the Suzuki-Miyaura cross-coupling reaction, and its activity was optimised through the selection of base, solvent, catalytic loading and temperature. The optimised conditions are mild, occurring at room temperature and over a short timescale (1 h) using solvents considered to be ‘green’. A substrate scope was then carried out in which the catalyst showed good activity towards aryl bromides with electron-withdrawing groups. The catalyst was active across a broad scope of electron-donating and high-withdrawing aryl bromides with the highest activity shown for weak electron-withdrawing groups. The catalyst also showed good activity across a range of boronic acids and pinacol esters with even boronic acids featuring strong electron-withdrawing groups showing some activity. The catalyst was also a capable catalyst for the cross-coupling of aryl chlorides and phenylboronic acid. This more challenging reaction requires slightly elevated temperatures over a longer timescale but is still considered mild compared to similar examples in the literature.
Original language | English |
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Article number | 303 |
Journal | Catalysts |
Volume | 13 |
Issue number | 2 |
Early online date | 29 Jan 2023 |
DOIs | |
Publication status | Published - Feb 2023 |
Keywords
- Suzuki-Miyaura
- aryl Halide
- cross-coupling
- palladium
- sustainable
ASJC Scopus subject areas
- Catalysis
- General Environmental Science
- Physical and Theoretical Chemistry
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Dive into the research topics of 'Preformed Pd(II) Catalysts based on Monoanionic [N,O] Ligands for Suzuki-Miyaura Cross-Coupling at Low Temperature'. Together they form a unique fingerprint.Datasets
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Data for Pd[N,O] Catalysts for Suzuki Coupling
Mansell, S. M. (Creator), Andrews, M. (Creator), McIntosh, R. D. (Creator) & Brunen, S. (Creator), Heriot-Watt University, 6 Jan 2023
DOI: 10.17861/68f1c4a3-630a-4e7d-ac72-15ed00dbc68e
Dataset