Parametrization of κ <sup>2</sup> - <i>N</i> , <i>O</i> -Oxazoline Preligands for Enantioselective Cobaltaelectro-Catalyzed C–H Activations
Enantioselective electrocatalyzed C-H activations have emerged as a transformative platform for the assembly of value-added chiral organic molecules. Despite the recent progress, the construction of multiple C(sp<sup>3</sup>)-stereogenic centers via a C(sp<sup>3</sup>)-C(sp<sup>3</sup>) bond formation has thus far proven to be elusive. In contrast, we herein report an annulative C-H activation strategy, generating chiral Fsp<sup>3</sup>-rich molecules with high levels of diastereo- and enantioselectivity. κ<sup>2</sup>-<i>N</i>,<i>O</i>-oxazoline preligands were effectively employed in enantioselective cobalt(III)-catalyzed C-H activation reactions. Using DFT-derived descriptors and regression statistical modeling, we performed a parametrization study on the modularity of chiral κ<sup>2</sup>-<i>N</i>,<i>O</i>-oxazoline preligands. The study resulted in a model describing ligands' selectivity characterized by key steric, electronic, and interaction behaviors.
Authors
- Regine Herbst‐Irmer (ORCID: https://orcid.org/0000-0003-1700-4369)
- Dietmar Stalke (ORCID: https://orcid.org/0000-0003-4392-5751)
- Tristan von Münchow (ORCID: https://orcid.org/0000-0002-8911-6733)
- Suman Dana (ORCID: https://orcid.org/0000-0002-4502-1601)
- Neeraj Kumar Pandit (ORCID: https://orcid.org/0000-0002-6885-0920)
- Lutz Ackermann (ORCID: https://orcid.org/0000-0001-7034-8772)
- Sven Trienes (ORCID: https://orcid.org/0009-0008-8910-7459)
- Philipp Boos (ORCID: https://orcid.org/0009-0004-7864-1833)
- Laura Haberstock
- Sven Erik Peters (ORCID: https://orcid.org/0009-0006-8239-6839)
Institutions
- University of Göttingen (DE)
Publication Details
- Journal
- ACS Catalysis
- Published
- 2025-02-28
- DOI
- https://doi.org/10.1021/acscatal.5c00250
- Citations
- 9
- Primary Topic
- Catalytic C–H Functionalization Methods
- Type
- article
- Field-Weighted Citation Impact
- 8.42
Funders
- Fonds der Chemischen Industrie
- Deutsche Forschungsgemeinschaft
- H2020 European Research Council