ORIGINAL RESEARCH
Highly Selective and Efficient Porous Cu-Sn Bimetallic Electrocatalyst for CO2 Reduction to Formate
 
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1
Department of Chemistry, Government College University, Lahore, Pakistan
 
2
Department of Chemistry, University of Education, Lahore, Pakistan
 
3
Department of Chemistry, The University of Lahore, Lahore, Pakistan
 
4
Department of Chemistry, University of Central Punjab, Lahore, Pakistan
 
 
Submission date: 2020-07-08
 
 
Final revision date: 2020-09-03
 
 
Acceptance date: 2020-11-28
 
 
Online publication date: 2021-08-16
 
 
Publication date: 2021-09-22
 
 
Corresponding author
Ahmad Adnan   

Chemistry, Government College University Lahore, Department of Chemistry GC University La, 54000, Lahore, Pakistan
 
 
Pol. J. Environ. Stud. 2021;30(5):4579-4585
 
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ABSTRACT
In the current study, a simple chemical reduction method to synthesize bimetallic nanocatalyst of CuSn(OH)6 has been reported. The morphology, composition, size and electrochemical activity of the nanocatalyst have been investigated. The nanocatalyst exhibits porous/sponge-like morphology. The linear sweep voltammetry and chronoamperometry were employed to measure the current density/ current response. The synthesized catalyst was used for electrochemical reduction of CO2 to formate. The electrocatalytic results confirmed higher faradaic efficiency (FE), high and long term stable current density and lower Tafel slope for the synthesized nanocatalyst. The maximum obtained FE on bimetallic electrocatalyst for the only liquid product (formate) was nearly 83%. The improved electrocatalytic activity confirms synergistic effect between Cu and Sn as nanocatalyst that efficiently contributed towards the conversion of CO2 to formate. Therefore, CuSn(OH)6 nanocatalyst can be prepared by a simple and cost-effective method that can be further used for efficient and selective reduction of CO2.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
 
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eISSN:2083-5906
ISSN:1230-1485
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