Scanning electrochemical microscopy screening of CO2 electroreduction activities and product selectivities of catalyst arrays

被引:36
作者
Mayer, Francis D. [1 ]
Hosseini-Benhangi, Pooya [2 ,3 ]
Sanchez-Sanchez, Carlos M. [4 ]
Asselin, Edouard [5 ]
Gyenge, Elod L. [1 ]
机构
[1] Univ British Columbia, Clean Energy Res Ctr, Dept Chem & Biol Engn, 2360 East Mall, Vancouver, BC V6T 1Z4, Canada
[2] Univ British Columbia, Dept Mat Engn, 6350 Stores Rd, Vancouver, BC V6T 1Z4, Canada
[3] Agora Energy Technol Ltd, 3800 Wesbrook Mall, Vancouver, BC V6S 2L9, Canada
[4] Sorbonne Univ, CNRS, Lab Interfaces & Syst Electrochim, LISE, F-75005 Paris, France
[5] Univ British Columbia, Dept Mat Engn, Canada Res Chair Aqueous Proc Met, 6350 Stores Rd, Vancouver, BC V6T 1Z4, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
CARBON-DIOXIDE; FORMIC-ACID; TIN OXIDE; ELECTROCATALYTIC ACTIVITY; OXYGEN REDUCTION; METAL-ELECTRODES; OXIDATION; FORMATE; ELECTROOXIDATION; VISUALIZATION;
D O I
10.1038/s42004-020-00399-6
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
The electroreduction of CO2 is one of the most investigated reactions and involves testing a large number and variety of catalysts. The majority of experimental electrocatalysis studies use conventional one-sample-at-a-time methods without providing spatially resolved catalytic activity information. Herein, we present the application of scanning electrochemical microscopy (SECM) for simultaneous screening of different catalysts forming an array. We demonstrate the potential of this method for electrocatalytic assessment of an array consisting of three Sn/SnOx catalysts for CO2 reduction to formate (CO2RF). Simultaneous SECM scans with fast scan (1 V s(-1)) cyclic voltammetry detection of products (HCOO-, CO and H-2) at the Pt ultramicroelectrode tip were performed. We were able to consistently distinguish the electrocatalytic activities of the three compositionally and morphologically different Sn/SnOx catalysts. Further development of this technique for larger catalyst arrays and matrices coupled with machine learning based algorithms could greatly accelerate the CO2 electroreduction catalyst discovery.
引用
收藏
页数:9
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