Boosting carbon dioxide electroreduction to C1 feedstocks via theory-guided tailoring oxygen defects in porous tin-oxide nanocubes

Autor: Shaojun Guo, Zheng Wang, Congcheng Yang, Linlin Wu, Kang Liu, Kaixin Liang, Haichuan He, You-Nian Liu, Abdulhadi Mustapha, Liu Deng
Rok vydání: 2020
Předmět:
Zdroj: Journal of Catalysis. 385:246-254
ISSN: 0021-9517
DOI: 10.1016/j.jcat.2020.03.015
Popis: Metal-oxide catalysts have great potential in efficient CO2 electroreduction (CO2ER). Unfortunately, many catalysts exhibit limited selectivity for carbon products at the high current density. Here, density functional theory is applied to analyzethe active sites on SnO2 matrix surface. The theoretical analysis indicates that the elimination of oxygen atoms from SnO2 matrix can significantly improve CO2 activation and suppress H2. Inspired by the analysis, a series of defect-engineered SnO2 nanocubes are synthesized. The as-prepared SnO2 with rich oxygen vacancy (Vo-rich SnO2) possesses C1 selectivity of 92.5% at −44.2 mA cm−2 which is higher than pristine SnO2 (78.1% at −18.2 mA cm−2), and reaches 30 h stability. Furthermore, the CO2ER activity in a 10% CO2 atmosphere is studied for the first time, where Vo-rich SnO2 demonstrates C1 selectivity of 74.5%. This work testifies the potential of theory-guided strategy to design practicaltin-oxide electrocatalysts and firstly highlights the research of industrial flue gas for CO2ER.
Databáze: OpenAIRE