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Ligand-Controlled Chemodivergent Bismuth Catalysis

  • Lucas Mele
  • , Philipp Engel
  • , Jamie Cadge
  • , Vytautas Peciukenas
  • , Hoonchul Choi
  • , Matthew Sigman
  • , Josep Cornella
  • Max Planck Institut für Kohlenforschung
  • University of Utah

Research output: Contribution to journal › Article › peer-review

10   Link opens in a new tab Citations (SciVal)

Abstract

Herein, we report a ligand-controlled chemodivergent bismuth-catalyzed coupling between arylboronic acids and N-fluorosulfonimide derivatives that enables the selective formation of either C(sp2)–N or C(sp2)–O bonds. Selectivity is achieved by the modulation of the electronic and steric properties of a common ligand framework for bismuth, thus establishing an unusual ligand-controlled chemodivergent platform in main group catalysis. Specifically, the use of an electron-enrich sulfone ligand led to the major formation of sulfonimide with selectivities ranging from 2:1 to more than 20:1. Conversely, a bismuth catalyst supported by an electron-deficient sulfoximine predominantly promoted the sulfonimidate product with ratios ranging between 5:1 and 15:1. To understand the underlying principles that control the selectivity, a comprehensive mechanistic investigation was conducted by combining experimental stoichiometric studies, DFT calculations, and statistical modeling. These studies support a catalytic high-valent bismuth redox cycle, where Bi(V) intermediates dictate product selectivity through either a three- or five-membered reductive elimination–ligand coupling event. By means of statistical modeling, we identified that the charge of the coordinating heteroatom through hypervalency, together with a steric parameter around the bismuth, is the key parameter responsible for the stabilization of the relevant transition states that lead to control over the reductive elimination process.
Original languageEnglish
Pages (from-to)42406-42415
Number of pages10
JournalJournal of the American Chemical Society
Volume147
Issue number46
Early online date19 Nov 2025
DOIs
Publication statusPublished - 19 Nov 2025

Acknowledgements

We thank the HPLC, MS, GC, NMR, X-ray, and glassblowing departments of Max-Planck-Institut für Kohlenforschung for analytic and technical support. We thank R. Leichtweiβ for training, maintenance, and provision of HPLC equipment. We thank Dr. M. Leutzsch for assistance with NMR experiments and Dr. A. Stamoulis for help with cyclic voltammetry measurement. We are thankful to Prof. Dr. A. Fürstner for generous support. We thank Prof. Dr. P. Comba, Dr. P. Deglmann, Dr. A. Schäfer, and Prof. Dr. T. Schaub for fruitful discussions regarding the computational chemistry.

Funding

We thank the HPLC, MS, GC, NMR, X-ray, and glassblowing departments of Max-Planck-Institut für Kohlenforschung for analytic and technical support. We thank R. Leichtweiβ for training, maintenance, and provision of HPLC equipment. We thank Dr. M. Leutzsch for assistance with NMR experiments and Dr. A. Stamoulis for help with cyclic voltammetry measurement. We are thankful to Prof. Dr. A. Fürstner for generous support. We thank Prof. Dr. P. Comba, Dr. P. Deglmann, Dr. A. Schäfer, and Prof. Dr. T. Schaub for fruitful discussions regarding the computational chemistry. Financial support for this work was provided by Max-Planck-Gesellschaft, Max-Planck-Institut für Kohlenforschung, and the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy─EXC 2033-390677874─RESOLV. This project has received funding from the European Union’s Horizon 2020 research and innovation program under Agreement No. 850496 (ERC Starting Grant, J.C.). Research in the Sigman group was supported by the NSF under the CCI Center for Computer Assisted Synthesis (C-CAS) (CHE-2202693). Open access funded by Max Planck Society. Financial support for this work was provided by Max-Planck-Gesellschaft, Max-Planck-Institut für Kohlenforschung, and the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy─EXC 2033-390677874─RESOLV. This project has received funding from the European Union’s Horizon 2020 research and innovation program under Agreement No. 850496 (ERC Starting Grant, J.C.). Research in the Sigman group was supported by the NSF under the CCI Center for Computer Assisted Synthesis (C-CAS) (CHE-2202693). Open access funded by Max Planck Society.

FundersFunder number
National Science Foundation
Max-Planck-Gesellschaft
Max-Planck-Institut für Kohlenforschung
Deutsche Forschungsgemeinschaft
Horizon 2020 Framework Programme850496
Casualty Actuarial SocietyCHE-2202693

    ASJC Scopus subject areas

    • Catalysis
    • Biochemistry
    • General Chemistry
    • Colloid and Surface Chemistry

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