Ligand-Controlled Chemodivergent Bismuth Catalysis

Lucas Mele, Philipp Engel, Jamie Cadge, Vytautas Peciukenas, Hoonchul Choi, Matthew Sigman, Josep Cornella

Research output: Contribution to journalArticlepeer-review

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
Number of pages10
JournalJournal of the American Chemical Society
DOIs
Publication statusPublished - 7 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

Financial support for this work was provided by Max-PlanckGesellschaft, 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.

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