Characterization of Iminobismuthanes and Catalytic Reduction of Organic Azides via Bi(I)/Bi(III) Redox Cycling

Abstract We report the stoichiometric and catalytic reactivity of organobismuth(I) complexes with organic azides. Treatment of N,C,N ‐pincer bismuthinidenes with organic azides (acyl, sulfonyl, and bulky aryl) results in monomeric iminobismuthanes which can be structurally characterized —including the formal Bi=N double bond— by multinuclear NMR spectroscopy and single‐crystal X‐ray diffraction. Building upon the stoichiometric reactivity of the monomeric iminobismuthanes, catalytic reduction of a broad range of organic azides is developed. DFT calculations of the catalytic reaction pathway support the redox nature of the overall process.

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Journal
Angewandte Chemie
Published
2024-10-24
DOI
https://doi.org/10.1002/ange.202417864
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
0.00

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article

Characterization of Iminobismuthanes and Catalytic Reduction of Organic Azides via Bi(I)/Bi(III) Redox Cycling

Hye Won Moon, Jennifer Kuziola, Josep Cornellà, Markus Leutzsch et al.
Angewandte Chemie
Machine Learning in Materials Science
article

Characterization of Iminobismuthanes and Catalytic Reduction of Organic Azides via Bi(I)/Bi(III) Redox Cycling

Hye Won Moon, Jennifer Kuziola, Josep Cornellà, Markus Leutzsch, Nils Noethling
article en

Abstract

Abstract We report the stoichiometric and catalytic reactivity of organobismuth(I) complexes with organic azides. Treatment of N,C,N ‐pincer bismuthinidenes with organic azides (acyl, sulfonyl, and bulky aryl) results in monomeric iminobismuthanes which can be structurally characterized —including the formal Bi=N double bond— by multinuclear NMR spectroscopy and single‐crystal X‐ray diffraction. Building upon the stoichiometric reactivity of the monomeric iminobismuthanes, catalytic reduction of a broad range of organic azides is developed. DFT calculations of the catalytic reaction pathway support the redox nature of the overall process.

Angewandte ChemieVol. 137(5)
Max-Planck-Institut für Kohlenforschung (DE)
European Commission, Deutsche Forschungsgemeinschaft, Max-Planck-Gesellschaft, Goddard Space Flight Center, Horizon 2020 Framework Programme
Openalex Percentile: Top 88%
Machine Learning in Materials Science
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Characterization of Iminobismuthanes and Catalytic Reduction of Organic Azides via Bi(I)/Bi(III) Redox Cycling — Hye Won Moon, Jennifer Kuziola, et al. · Angewandte Chemie (2024) | TGRS Research Map | TGRS