氧化物
催化作用
法拉第效率
纳米颗粒
吸附
化学
材料科学
碳纤维
化学工程
氧化还原
选择性
电子转移
金属
金属有机骨架
纳米技术
电化学
无机化学
电极
光化学
物理化学
有机化学
冶金
复合材料
工程类
复合数
作者
Lu‐Pan Yuan,Wenjie Jiang,Xiaolong Liu,Yeheng He,Chao He,Tang Tang,Jianan Zhang,Jin‐Song Hu
出处
期刊:ACS Catalysis
日期:2020-11-01
卷期号:10 (22): 13227-13235
被引量:119
标识
DOI:10.1021/acscatal.0c03831
摘要
Strong metal–support interaction (SMSI), commonly happening between metal and metal oxide support, has drawn significant attention in heterogeneous catalysis due to its capability of enhancing the activity and stability of catalysts. Herein, the strong interaction between metal oxide and carbon supports is discovered to significantly boost the performance for electrocatalytic CO2 reduction reaction (CO2RR). A molecular engineering strategy is designed to develop undoped, N-doped, S-doped, and N,S-codoped porous carbon supports with similar physical properties (denoted as C, NC, SC, and NSC, respectively). These supports can host high-density SnO2 nanoparticles (over 60 wt. %) in a small size of ∼3.5 nm and good distribution, providing an excellent platform to understand the strong metal oxide–support interaction (SMOSI) and their influence on electrocatalytic performance. Systematic experimental and theoretical investigations discover the SMOSI between SnO2 nanoparticles and carbon supports in an order of SnO2/NSC > SnO2/NC > SnO2/SC > SnO2/C. Such SMOSI enables the effective electron transfer from carbon support to SnO2 nanoparticles, strengthening the adsorption of key reaction intermediate of CO2•– and thus promoting CO2RR. With the strongest SMOSI, SnO2/NSC exhibits significantly enhanced selectivity and activity for CO2 reduction to HCOOH with a high faradaic efficiency of 94.4% and an extraordinary partial current density of 56.0 mA·cm–2 in an H-cell, outperforming the majority of Sn-based catalysts. Notably, SMOSI can simultaneously secure the active sites and thus remarkably enhance their catalytic durability, making it a promising strategy for exploring efficient and stable catalysts for diverse applications.
科研通智能强力驱动
Strongly Powered by AbleSci AI