Optimizing Cu+-Cu0 synergy by operando tracking of Cu2O nanocatalysts during the electrochemical CO2 reduction reaction

材料科学 纳米材料基催化剂 电化学 催化作用 反应性(心理学) 乙烯 微晶 拉曼光谱 化学工程 纳米技术 无机化学 纳米颗粒 物理化学 电极 化学 冶金 物理 工程类 光学 病理 医学 生物化学 替代医学
作者
Hao Zhang,Ying Wang,Qiong Lei,Ying Wang,Chiu C. Tang,Jun Yin,Tsz Woon Benedict Lo
出处
期刊:Nano Energy [Elsevier]
卷期号:118: 108920-108920 被引量:24
标识
DOI:10.1016/j.nanoen.2023.108920
摘要

Tracking the evolution of electrocatalysts over oxide-derived Cu materials during the electrochemical CO2 reduction reaction (eCO2RR) is pivotal for optimizing the product selectivity toward desired multi-carbon (C2+) products. However, the identification of the true intermediate active catalyst is still unclear. Here, we adopted a multi-modal characterization approach, primarily based on operando powder X-ray diffraction and operando micro-Raman spectroscopy, to study three Cu2O precursors with different morphologies, namely, octahedral (O-), cubic (C-), and nanowire (N-Cu2O). This multi-modal approach allows us to investigate the Cu2O nano-crystallites from the interface to the bulk structure. The results suggested notably different electrochemical reduction kinetics. 26.1% O-Cu2O and 90.6% C-Cu2O were reduced to much smaller Cu(0) domains after two hours of time-on-stream; N-Cu2O, with notably higher surface-to-volume ratio, was completely reduced within 45 min of time-on-stream. We accordingly observed a structure-reactivity correlation where a more intricate Cu2O/Cu grain network (and hence Cu+-Cu0 junctions) as observed in O-Cu2O, can lead to stable and quantitative production of ethylene at the Faradic efficiency of around 40% (in stark contrast to those of C- and N-Cu2O). The synergy between the Cu2O and Cu phases was also verified by density functional theory calculations. The upshifted d-band center of Cu2O/Cu in O-Cu2O is the most conducive toward the production of ethylene, whereas the downshifted d-band center of Cu2O/Cu in C-Cu2O leads to a decreased production of ethylene in the expense of unwanted production of hydrogen. We envisage that system optimization and design of new catalysts will become more facile and efficient using a related multi-modal operando characterization philosophy.
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