@article{cfe04e2763bc4fdba65b4c5825db86be,
title = "Pressure dependence in aqueous-based electrochemical CO2 reduction",
abstract = "Electrochemical CO2 reduction (CO2R) is an approach to closing the carbon cycle for chemical synthesis. To date, the field has focused on the electrolysis of ambient pressure CO2. However, industrial CO2 is pressurized—in capture, transport and storage—and is often in dissolved form. Here, we find that pressurization to 50 bar steers CO2R pathways toward formate, something seen across widely-employed CO2R catalysts. By developing operando methods compatible with high pressures, including quantitative operando Raman spectroscopy, we link the high formate selectivity to increased CO2 coverage on the cathode surface. The interplay of theory and experiments validates the mechanism, and guides us to functionalize the surface of a Cu cathode with a proton-resistant layer to further the pressure-mediated selectivity effect. This work illustrates the value of industrial CO2 sources as the starting feedstock for sustainable chemical synthesis.",
author = "Liang Huang and Ge Gao and Chaobo Yang and Li, {Xiao Yan} and Miao, {Rui Kai} and Yanrong Xue and Ke Xie and Pengfei Ou and Yavuz, {Cafer T.} and Yu Han and Gaetano Magnotti and David Sinton and Sargent, {Edward H.} and Xu Lu",
note = "Funding Information: This work was financially supported by the Baseline Fund (BAS/1/1413-01-01) and Center Competitive Fund (URF/1/1975-16-01) to X.L. from King Abdullah University of Science and Technology (KAUST). E.H.S. and D.S. acknowledge the Natural Sciences and Engineering Research Council (NSERC) of Canada and the Ontario Research Fund: Research Excellence Program. DFT calculations were performed on the Niagara supercomputer at the SciNet HPC Consortium. G.M. thanks the KAUST Research Funding Office (URF/1/3715-01-01 and BAS/1/1388-01-01). Funding Information: This work was financially supported by the Baseline Fund (BAS/1/1413-01-01) and Center Competitive Fund (URF/1/1975-16-01) to X.L. from King Abdullah University of Science and Technology (KAUST). E.H.S. and D.S. acknowledge the Natural Sciences and Engineering Research Council (NSERC) of Canada and the Ontario Research Fund: Research Excellence Program. DFT calculations were performed on the Niagara supercomputer at the SciNet HPC Consortium. G.M. thanks the KAUST Research Funding Office (URF/1/3715-01-01 and BAS/1/1388-01-01). Publisher Copyright: {\textcopyright} 2023, The Author(s).",
year = "2023",
month = dec,
doi = "10.1038/s41467-023-38775-0",
language = "English (US)",
volume = "14",
journal = "Nature Communications",
issn = "2041-1723",
publisher = "Nature Publishing Group",
number = "1",
}