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Cited by 299

The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.

Enantioselective electrochemical cobalt-catalyzed aryl C–H activation reactions

Open access
von Münchow, Tristan, Dana, Suman, Xu, Yang, Yuan, Binbin, Ackermann, Lutz·2023·Science

Abstract

Enantioselective redox transformations typically rely on costly transition metals as catalysts and often stoichiometric amounts of chemical redox agents as well. Electrocatalysis represents a more sustainable alternative, in particular through the use of the hydrogen evolution reaction (HER) in place of a chemical oxidant. In this work, we describe strategies for HER-coupled enantioselective aryl carbon-hydrogen bond (C–H) activation reactions using cobalt in place of a precious metal catalyst for the asymmetric oxidation. Thus, highly enantioselective carbon-hydrogen and nitrogen-hydrogen (C–H and N–H) annulations of carboxylic amides were achieved, which gave access to point and axially chiral compounds. Furthermore, the cobalt-mediated electrocatalysis enabled the preparation of various phosphorus (P)–stereogenic compounds by selective desymmetrization through dehydrogenative C–H activation reactions.

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Crossref · 10.1126/science.adg2866

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Metadata

Authors
von Münchow, T., Dana, S., Xu, Y., Yuan, B., & Ackermann, L.
Venue
Science
Published
2023-03-10
Volume
379
Issue
6636
Pages
1036-1042
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W4323811023
Cited by
299
References
35
FWCI
28.96
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Enantioselective electrochemical cobalt-catalyzed aryl C–H activation reactions. https://app.cochat.ai/papers/10.1126/science.adg2866
The paper
von Münchow, T., Dana, S., Xu, Y., Yuan, B., & Ackermann, L. (2023). Enantioselective electrochemical cobalt-catalyzed aryl C–H activation reactions. Science. https://doi.org/10.1126/science.adg2866

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.