Direct formation of copper nanoparticles from atoms at graphitic step edges lowers overpotential and improves selectivity of electrocatalytic CO 2 reduction.
Tom BurwellMadasamy ThangamuthuGazi N AlievSadegh GhaderzadehEmerson C KohlrauschYifan ChenWolfgang TheisLuke T NormanJesum Alves FernandesElena BesleyPeter LicenceAndrei N KhlobystovPublished in: Communications chemistry (2024)
A key strategy for minimizing our reliance on precious metals is to increase the fraction of surface atoms and improve the metal-support interface. In this work, we employ a solvent/ligand/counterion-free method to deposit copper in the atomic form directly onto a nanotextured surface of graphitized carbon nanofibers (GNFs). Our results demonstrate that under these conditions, copper atoms coalesce into nanoparticles securely anchored to the graphitic step edges, limiting their growth to 2-5 nm. The resultant hybrid Cu/GNF material displays high selectivity in the CO 2 reduction reaction (CO 2 RR) for formate production with a faradaic efficiency of ~94% at -0.38 V vs RHE and a high turnover frequency of 2.78 × 10 6 h -1 . The Cu nanoparticles adhered to the graphitic step edges significantly enhance electron transfer to CO 2 . Long-term CO 2 RR tests coupled with atomic-scale elucidation of changes in Cu/GNF reveal nanoparticles coarsening, and a simultaneous increase in the fraction of single Cu atoms. These changes in the catalyst structure make the onset of the CO 2 reduction potential more negative, leading to less formate production at -0.38 V vs RHE, correlating with a less efficient competition of CO 2 with H 2 O for adsorption on single Cu atoms on the graphitic surfaces, revealed by density functional theory calculations.
Keyphrases
- density functional theory
- aqueous solution
- metal organic framework
- visible light
- electron transfer
- molecular dynamics
- ionic liquid
- walled carbon nanotubes
- reduced graphene oxide
- genome wide
- dna methylation
- escherichia coli
- gold nanoparticles
- climate change
- biofilm formation
- molecular dynamics simulations
- staphylococcus aureus