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Cited by 205

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The First Catalytic Synthesis of an Acrylate from CO2 and an Alkene—A Rational Approach

Lejkowski, Michael L., Lindner, Ronald, Kageyama, Takeharu, Bódizs, Gabriella É., Plessow, Philipp N., Müller, Imke B., Schäfer, Ansgar, Rominger, Frank, Hofmann, Peter, Futter, Cornelia, Schunk, Stephan A., Limbach, Michael·2012·Chemistry – A European Journal

Abstract

For more than three decades the catalytic synthesis of acrylates from the cheap and abundantly available C 1 building block carbon dioxide and alkenes has been an unsolved problem in catalysis research, both in academia and industry. Herein, we describe a homogeneous catalyst based on nickel that permits the catalytic synthesis of the industrially highly relevant acrylate sodium acrylate from CO 2, ethylene, and a base, as demonstrated, at this stage, by a turnover number of greater than 10 with respect to the metal.

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Metadata

Authors
Lejkowski, M. L., Lindner, R., Kageyama, T., Bódizs, G. É., Plessow, P. N., Müller, I. B., Schäfer, A., Rominger, F., Hofmann, P., Futter, C., Schunk, S. A., & Limbach, M.
Venue
Chemistry – A European Journal
Publisher
Wiley
Published
2012-09-20
Volume
18
Issue
44
Pages
14017-14025
ISSN
  • 0947-6539 (ISSN-L)
  • 1521-3765
OpenAlex
W2166617552
Cited by
205
References
0
FWCI
10.54
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The First Catalytic Synthesis of an Acrylate from CO2 and an Alkene—A Rational Approach. https://app.cochat.ai/papers/10.1002/chem.201201757
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Lejkowski, M. L., Lindner, R., Kageyama, T., Bódizs, G. É., Plessow, P. N., Müller, I. B., Schäfer, A., Rominger, F., Hofmann, P., Futter, C., Schunk, S. A., & Limbach, M. (2012). The First Catalytic Synthesis of an Acrylate from CO2 and an Alkene—A Rational Approach. Chemistry – A European Journal. https://doi.org/10.1002/chem.201201757

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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.