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Elastic Ag-anchored N-doped graphene/carbon foam for the selective electrochemical reduction of carbon dioxide to ethanol
Electrochemical reduction of CO 2 is considered to be an efficient strategy for converting CO 2 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 met...
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Published in: | Journal of materials chemistry. A, Materials for energy and sustainability Materials for energy and sustainability, 2018, Vol.6 (12), p.5025-5031 |
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Main Authors: | , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Electrochemical reduction of CO
2
is considered to be an efficient strategy for converting CO
2
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 CO
2
electrochemical reduction, the Ag-G-NCF can efficiently and preferentially convert CO
2
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 CO
2
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. |
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ISSN: | 2050-7488 2050-7496 |
DOI: | 10.1039/C7TA10802H |