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Comparison of the Efficiency of B-O and B-C Bond Formation Pathways in Borane-Catalyzed Carbene Transfer Reactions Using α-Diazocarbonyl Precursors: A Combined Density Functional Theory and Machine Learning Study. | LitMetric

AI Article Synopsis

  • Lewis acidic boranes, like tris(pentafluorophenyl)borane, are identified as effective metal-free catalysts for carbene transfer reactions involving α-diazocarbonyl compounds, which are vital for various functionalization reactions.
  • The study challenges the traditional understanding that boranes facilitate carbene generation primarily through a B-O (C=O) intermediate, instead highlighting B-C(=N=N) bond formation as the preferred method for certain substrates.
  • By investigating 22 substituents on the α-diazocarbonyl backbone and employing machine learning techniques, the research reveals how electronic properties of these substituents significantly influence the effectiveness of boranes in catalyzing carbene formation

Article Abstract

Lewis acidic boranes, especially tris(pentafluorophenyl)borane [B(CF)], have emerged as metal-free catalysts for carbene transfer reactions of α-diazocarbonyl compounds in a variety of functionalization reactions. The established mechanism for how borane facilitates carbene generation for these compounds in the scientific community is based on the formation of a B-O (C=O) intermediate (). Herein, we report an extensive DFT study that challenges the notion of a ubiquitous , revealing that B-C(=N=N) bond formation () for certain diazocarbonyl substrates proves to be the preferred pathway. This study elucidates, through the introduction of 22 various substituents on each side of the α-diazocarbonyl backbone, how the electron-donating and -withdrawing properties of substituents influence the competition between these B-O and B-C pathways. To elucidate the impact of the electronic features of diazo substrates on the competition between the O and C pathways in the studied dataset, we employed a machine learning approach based on the Random Forest model. This analysis revealed that substrates with higher electron density on the diazo-attached carbon, lower electron density on the carbonyl carbon, and more stable HOMO orbitals tend to proceed via . Furthermore, this study not only demonstrates that borane efficiency in facilitating N release is greatly affected by the nature of substituents on both sides of the α-diazocarbonyl functionality but also shows that for some substrates, borane is incapable of catalyzing the release of molecular nitrogen.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11494835PMC
http://dx.doi.org/10.1021/acscatal.4c03368DOI Listing

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