Issue 12, 2018

Elastic Ag-anchored N-doped graphene/carbon foam for the selective electrochemical reduction of carbon dioxide to ethanol

Abstract

Electrochemical reduction of CO2 is considered to be an efficient strategy for converting CO2 emissions into valued-added carbon compounds. However, it often suffers from high overpotential, low product faradaic efficiency and poor selectivity for the desired products. Herein, a cost-effective method was designed to anchor Ag nanoparticles onto 3D graphene-wrapped nitrogen-doped carbon foam (Ag-G-NCF) by direct carbonization of melamine foam loaded with graphene oxide and silver salt. Directly acting as a high-efficiency electrode for CO2 electrochemical reduction, the Ag-G-NCF can efficiently and preferentially convert CO2 to ethanol with faradaic efficiencies (FEs) of 82.1–85.2% at −0.6 to −0.7 V (vs. RHE), overcoming the usual limitation of low FE and selectivity for C2 products. Density functional theory calculations confirmed that the pyridinic N species of the Ag-G-NCF catalyst exhibited a higher bonding ability toward CO* intermediates than other N species, and that then the Ag particles gradually converted the CO* to the OC–COH intermediate of ethanol. Its excellent performance in CO2 electroreduction can be attributed to a combination of the synergistic catalysis occurring between the pyridinic N present at high content and the Ag nanoparticles, the hierarchical macroporous structure, and the good conductivity.

Graphical abstract: Elastic Ag-anchored N-doped graphene/carbon foam for the selective electrochemical reduction of carbon dioxide to ethanol

Supplementary files

Article information

Article type
Paper
Submitted
09 Dec 2017
Accepted
16 Feb 2018
First published
17 Feb 2018

J. Mater. Chem. A, 2018,6, 5025-5031

Elastic Ag-anchored N-doped graphene/carbon foam for the selective electrochemical reduction of carbon dioxide to ethanol

K. Lv, Y. Fan, Y. Zhu, Y. Yuan, J. Wang, Y. Zhu and Q. Zhang, J. Mater. Chem. A, 2018, 6, 5025 DOI: 10.1039/C7TA10802H

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