Projects per year
Abstract
Currently, there is a drive to develop the organoelement chemistry of sodium, the most abundant alkali metal on earth, as an alternative to that of rarer lithium, with the prime focus on sustainability. Organolithium compounds have been essential to the success of synthetic chemistry for more than a century, although their implementation has been essentially confined to stoichiometric synthesis. Here, we report on synthetic, structural, catalytic, mechanistic, and theoretical studies of a series of sodium diphenylphosphides, having unique structures defined by the Lewis base donor D solvating the Lewis acidic sodium cation. These donor complexes are explored as hydrophosphination catalysts on reacting Ph 2P–H with a range of alkynes and prove to be generally effective under ambient conditions, especially when n = 1 in [{Ph 2PNa(D) x} n]. Density functional theory (DFT) studies have shed light on the possible mechanisms of these catalytic cycles and how they relate to the E, Z, or α isomer formed.
Original language | English |
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Article number | 100942 |
Journal | Cell Reports Physical Science |
Volume | 3 |
Issue number | 7 |
Early online date | 21 Jun 2022 |
DOIs | |
Publication status | Published - 20 Jul 2022 |
Keywords
- alkenes
- alkynes
- homogeneous catalysis
- hydrophosphination
- organosodium
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Dive into the research topics of 'Catalytic hydrophosphination of alkynes using structurally diverse sodium diphenylphosphide donor complexes'. Together they form a unique fingerprint.Projects
- 1 Finished
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Propelling Sodium to the Forefront of Metallation Chemistry
Mulvey, R. (Principal Investigator) & Robertson, S. (Co-investigator)
1/04/20 → 31/03/24
Project: Research
Datasets
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Data for: "Catalytic Hydrophosphination Using Structurally-Diverse Sodium Diphenylphosphide Donor Complexes"
Whitelaw, M. T. (Contributor), Mulvey, R. (Creator), Banerjee, S. (Contributor), Kennedy, A. (Contributor), Tuttle, T. (Contributor) & van Teijlingen, A. (Contributor), University of Strathclyde, 30 May 2022
DOI: 10.15129/0498dbe7-f5cc-414b-9a30-cc5208f3527f
Dataset