A Surface Reconstruction Route to High Productivity and Selectivity in CO Electroreduction Toward C Hydrocarbons
Overview
Authors
Affiliations
Electrochemical carbon dioxide reduction (CO ) is a promising technology to use renewable electricity to convert CO into valuable carbon-based products. For commercial-scale applications, however, the productivity and selectivity toward multi-carbon products must be enhanced. A facile surface reconstruction approach that enables tuning of CO -reduction selectivity toward C products on a copper-chloride (CuCl)-derived catalyst is reported here. Using a novel wet-oxidation process, both the oxidation state and morphology of Cu surface are controlled, providing uniformity of the electrode morphology and abundant surface active sites. The Cu surface is partially oxidized to form an initial Cu (I) chloride layer which is subsequently converted to a Cu (I) oxide surface. High C selectivity on these catalysts are demonstrated in an H-cell configuration, in which 73% Faradaic efficiency (FE) for C products is reached with 56% FE for ethylene (C H ) and overall current density of 17 mA cm . Thereafter, the method into a flow-cell configuration is translated, which allows operation in a highly alkaline medium for complete suppression of CH production. A record C FE of ≈84% and a half-cell power conversion efficiency of 50% at a partial current density of 336 mA cm using the reconstructed Cu catalyst are reported.
Sun Q, Fu L, Chang X, Xu B Sci Adv. 2024; 10(47):eadp5697.
PMID: 39576866 PMC: 11584008. DOI: 10.1126/sciadv.adp5697.
Choi W, Chae Y, Liu E, Kim D, Drisdell W, Oh H Nat Commun. 2024; 15(1):8345.
PMID: 39333114 PMC: 11437247. DOI: 10.1038/s41467-024-52692-w.
Wang M, Chen C, Jia S, Han S, Dong X, Zhou D Chem Sci. 2024; 15(22):8451-8458.
PMID: 38846399 PMC: 11151859. DOI: 10.1039/d4sc01735h.
Recent advances in dynamic reconstruction of electrocatalysts for carbon dioxide reduction.
Zhang J, Xia S, Wang Y, Wu J, Wu Y iScience. 2024; 27(6):110005.
PMID: 38846002 PMC: 11154216. DOI: 10.1016/j.isci.2024.110005.
Lei Y, Lu X, Yoshikawa H, Matsumura D, Fan Y, Zhao L Nat Commun. 2024; 15(1):3325.
PMID: 38637537 PMC: 11026416. DOI: 10.1038/s41467-024-47628-3.