Design of CuInS2 hollow nanostructures toward CO2 electroreduction

被引:0
作者
Chaohua He
Sijia Chen
Ran Long
Li Song
Yujie Xiong
机构
[1] University of Science and Technology of China,Hefei National Laboratory for Physical Sciences at the Microscale, Collaborative Innovation Center of Chemistry for Energy Materials (iChEM), School of Chemistry and Materials Science, National Synchrotron Radi
[2] Hefei Comprehensive National Science Center,Institute of Energy
来源
Science China Chemistry | 2020年 / 63卷
关键词
CO; reduction; electrocatalyst; CuInS2; hollow nanostructure; Raman spectroscopy;
D O I
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中图分类号
学科分类号
摘要
The sharp rise of CO2 in the atmosphere has become a potential threat to global climate, which results from the massive utilization of fossil fuel since the industry revolution. CO2 electroreduction provides us a new possibility of utilizing CO2 as a carbon feedstock for fuel and commercial chemicals generation. In this article, a new method is developed for synthesizing CuInS2 hollow nanostructures through the Kirkendall effect. The CuInS2 hollow nanostructures exhibit excellent catalytic activity for electrochemical reduction of CO2 with particular high selectivity, achieving high faradaic efficiency for HCOOH of 72.8% at −0.7 V. To elucidate the mechanisms, operando electrochemical Raman spectroscopy is employed to examine the CO2 reduction process. This work provides new insights into the design of hollow nanostructures toward electrocatalytic CO2 conversion and offers us an effective and reliable way for real-time investigation of electrochemical CO2 reduction reaction processes.
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页码:1721 / 1726
页数:5
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[1]  
Gao S(2016)undefined Nature 529 68-71
[2]  
Lin Y(2018)undefined Sci China Chem 61 228-235
[3]  
Jiao X(2018)undefined Nat Catal 1 421-428
[4]  
Sun Y(2018)undefined Science 360 783-787
[5]  
Luo Q(2020)undefined Adv Mater 32 1908398-2150
[6]  
Zhang W(2015)undefined Angew Chem Int Ed 54 2146-6274
[7]  
Li D(2016)undefined ACS Catal 6 6265-805
[8]  
Yang J(2017)undefined Joule 1 794-12216
[9]  
Xie Y(2014)undefined Nanoscale 6 12195-4754
[10]  
Lu L(2019)undefined Adv Mater 31 1800426-9118