Nickel Selenide as an Efficient Electrocatalyst for Selective Reduction of Carbon Dioxide to Carbon-Rich Products
Identifying new catalyst composition for carbon dioxide electroreduction to high-value products has been the center of attraction over the last several years. In this article, nickel selenide (NiSe2) has been identified as a high-efficiency electrocatalyst for CO2 electroreduction at neutral pH. Interestingly, NiSe2 shows high selectivity towards specific reduction products, forming carbon-rich C2 products like ethanol and acetic acid exclusively at lower applied potential with 98.45% faradaic efficiency, while C1 products formic acid and carbon monoxide formed preferentially at higher applied potential. More importantly, the C2 products such as acetic acid and ethanol are obtained at very low applied potential, which further corroborates the novelty of this catalyst in CO2 utilization with minimal energy expense. The NiSe2 catalyst surface has been studied through density functional theory calculations which show that the adsorption energy of the CO intermediate on the NiSe2 surface is optimal for extensive reduction through formation of C-C bonds but not strong enough for surface passivation, thus leading to high selectivity for C2 products. Such high efficiency of the catalyst can be a result of increased covalency of the selenide anion along with a high d-electron density of the Ni center. The hydrothermally synthesized NiSe2 sample also shows high activity for oxygen evolution through electrocatalytic water splitting in alkaline medium, effectively making it a bifunctional catalyst which can lower the concentration of the atmospheric pollutant CO2 while at the same time enriching the air with O2
A. Saxena et al., "Nickel Selenide as an Efficient Electrocatalyst for Selective Reduction of Carbon Dioxide to Carbon-Rich Products," Catalysis Science and Technology, vol. 12, no. 15, pp. 4727 - 4739, Royal Society of Chemistry, Jun 2022.
The definitive version is available at https://doi.org/10.1039/d2cy00583b
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03 Jun 2022
This work was supported by the National Science Foundation, Grant 6640.