Nanocluster Surface Microenvironment Modulates Electrocatalytic CO 2 Reduction.
Seungwoo YooSuhwan YooGuocheng DengFang SunKangjae LeeHyunsung JangChan Woo LeeXiaolin LiuJunghwan JangQing TangYun Jeong HwangTaeghwan HyeonMegalamane S BootharajuPublished in: Advanced materials (Deerfield Beach, Fla.) (2023)
The catalytic activity and product selectivity of the electrochemical CO 2 reduction reaction (eCO 2 RR) depend strongly on the local microenvironment of mass diffusion at the nanostructured catalyst and electrolyte interface. Achieving a molecular-level understanding of the electrocatalytic reaction requires the development of tunable metal-ligand interfacial structures with atomic precision, which is highly challenging. Here, we present the synthesis and molecular structure of a 25-atom silver nanocluster interfaced with an organic shell comprising 18 thiolate ligands. The locally induced hydrophobicity by bulky alkyl functionality near the surface of the Ag 25 cluster dramatically enhances the eCO 2 RR activity (CO Faradaic efficiency, FE CO : 90.3%) with higher CO partial current density (j CO ) in a H-cell compared to Ag 25 cluster (FE CO : 66.6%) with confined hydrophilicity, which modulates surface interactions with water and CO 2 . Remarkably, the hydrophobic Ag 25 cluster exhibits j CO as high as -240 mA cm -2 with FE CO >90% at -3.4 V cell potential in a gas-fed membrane electrode assembly device. Furthermore, this cluster demonstrates stable eCO 2 RR over 120 h. Operando surface-enhanced infrared absorption spectroscopy and theoretical simulations reveal how the ligands alter the neighboring water structure and *CO intermediates, impacting the intrinsic eCO 2 RR activity, which provides atomistic mechanistic insights into the crucial role of confined hydrophobicity. This article is protected by copyright. All rights reserved.
Keyphrases
- ionic liquid
- visible light
- metal organic framework
- single cell
- stem cells
- quantum dots
- gold nanoparticles
- electron transfer
- room temperature
- cell therapy
- highly efficient
- reduced graphene oxide
- molecular dynamics
- high resolution
- molecular dynamics simulations
- solid state
- gene expression
- genome wide
- oxidative stress
- climate change
- risk assessment
- diabetic rats
- silver nanoparticles