Open Access System for Information Sharing

Login Library

 

Article
Cited 63 time in webofscience Cited 66 time in scopus
Metadata Downloads

Selective electrochemical CO2 conversion to multicarbon alcohols on highly efficient N-doped porous carbon-supported Cu catalysts SCIE SCOPUS

Title
Selective electrochemical CO2 conversion to multicarbon alcohols on highly efficient N-doped porous carbon-supported Cu catalysts
Authors
HYUNSU, HANYUSEONG, NOHYOONGON, KIMSEONGMIN, PARKWONGEUN, YOONDAEHEE, JANG,SUNG MOOK, CHOIKIM, WON BAE
Date Issued
2020-01
Publisher
Royal Society of Chemistry
Abstract
The selective and efficient electrocatalytic transformation of carbon dioxide (CO2) to multicarbon alcohols (e.g., C2H5OH and C3H7OH) is a challenge in renewable and sustainable energy research. Herein, a series of hybrid catalysts consisting of Cu nanoparticles supported on N-doped porous carbon (Cu/NPC) were prepared. It was demonstrated that the selectivity for C2H5OH or C3H7OH could be tuned by introducing N-doped porous carbon materials as cocatalysts with different pyridinic N contents, which could in situ produce a reactive CO intermediate from CO2. By varying the pyridinic N content, highly selective production of multicarbon alcohols was achieved using the Cu/NPC hybrid catalysts with a high faradaic efficiency for one pot production of multicarbon alcohols up to 73.3% at −1.05 V (vs. RHE). The faradaic efficiency for C2H5OH and C3H7OH was 64.6% and 8.7%, respectively. The pyridinic N species were likely the CO-producing sites and together with Cu catalytic sites acted cooperatively to produce C2H5OH and C3H7OH via a two-site mechanism for efficient CO2 reduction to multicarbon alcohols. These findings provide novel guidance for the rational design of electrocatalysts and for tuning the catalytic activity and selectivity for multicarbon alcohol production from CO2.
URI
https://oasis.postech.ac.kr/handle/2014.oak/100777
DOI
10.1039/C9GC03088C
ISSN
1463-9262
Article Type
Article
Citation
Green Chemistry, vol. 22, no. 1, page. 71 - 84, 2020-01
Files in This Item:
There are no files associated with this item.

qr_code

  • mendeley

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Views & Downloads

Browse