Fast cooling induced grain-boundary-rich copper oxide for electrocatalytic carbon dioxide reduction to ethanol
| Autor: | Hanchen Shen, Lijuan Zhang, Linping Qian, Yali Ji, Tengfei Li, Anxiang Guan, Gengfeng Zheng, Junlang Liu, Abdullah M. Al-Enizi, Chao Yang |
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| Rok vydání: | 2020 |
| Předmět: |
Copper oxide
Materials science chemistry.chemical_element 02 engineering and technology 010402 general chemistry 021001 nanoscience & nanotechnology Electrocatalyst 01 natural sciences Copper 0104 chemical sciences Surfaces Coatings and Films Electronic Optical and Magnetic Materials Biomaterials chemistry.chemical_compound Colloid and Surface Chemistry chemistry Chemical engineering Chemisorption Reversible hydrogen electrode Grain boundary 0210 nano-technology Faraday efficiency Electrochemical reduction of carbon dioxide |
| Zdroj: | Journal of colloid and interface science. 570 |
| ISSN: | 1095-7103 |
| Popis: | Electrochemical CO2 reduction with rationally designed copper-based electrocatalysts is a promising approach to reduce CO2 emission and produce value-added products. Grain boundaries and micron-strains inside catalysts have been proposed as active catalytic sites, while the controlled formation of these sites has remained highly challenging. In this work, we developed a strategy of creating high-density grain boundaries and micron-strains inside CuO electrocatalysts by fast cooling with liquid nitrogen. Compared to samples with slower cooling rates, the fast cooled CuO showed clear difference in their crystal domain sizes, micro-strain densities, and the chemisorption capacities of CO2 and CO. This micro-strain-rich CuO electrocatalyst exhibited a high total current density over 300 mA·cm−2, and an outstanding Faradaic efficiency for C2 products (with a majority to ethanol) at −1.0 V vs. reversible hydrogen electrode. Our work suggests a facile approach of tuning grain boundaries and micro-strains inside Cu-based electrocatalysts to scale up electrochemical CO2 reduction for high value-added products. |
| Databáze: | OpenAIRE |
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