In situ construction of Cu(I)-Cu(II) pairs for efficient electrocatalytic nitrate reduction reaction to ammonia

被引:4
|
作者
Zheng, Muyun [1 ]
Wan, Yuchi [2 ]
Yang, Leping [1 ]
Ao, Shen [1 ]
Fu, Wangyang [1 ,3 ]
Zhang, Zhengjun [1 ,3 ]
Huang, Zheng-Hong [1 ,3 ]
Ling, Tao [4 ]
Kang, Feiyu [1 ,3 ]
Lv, Ruitao [1 ,3 ]
机构
[1] Tsinghua Univ, Sch Mat Sci & Engn, State Key Lab New Ceram & Fine Proc, Beijing 100084, Peoples R China
[2] Fuzhou Univ, Inst New Energy Mat & Engn, Sch Mat Sci & Engn, Fuzhou 350108, Fujian, Peoples R China
[3] Tsinghua Univ, Sch Mat Sci & Engn, Key Lab Adv Mat MOE, Beijing 100084, Peoples R China
[4] Tianjin Univ, Sch Mat Sci & Engn, Tianjin Key Lab Composite & Funct Mat, Key Lab Adv Ceram & Machining Technol,Minist Educ, Tianjin 300072, Peoples R China
来源
基金
中国国家自然科学基金;
关键词
Ammonia synthesis; Cu oxidation state; Electrochemistry; Nitrate reduction; In situ XPS; NITROGEN REDUCTION; EVOLUTION; FUTURE;
D O I
10.1016/j.jechem.2024.08.020
中图分类号
O69 [应用化学];
学科分类号
081704 ;
摘要
Electrocatalytic nitrate reduction reaction (NO3-RR) to ammonia under ambient conditions is expected to be a green process for ammonia synthesis and alleviate water pollution issues. We report a CuO nanoparticles incorporated on nitrogen-doped porous carbon (CuO@NC) catalyst for NO3-RR. Part of Cu(II) is reduced to Cu(I) during the NO3-RR process to construct Cu(I)-Cu(II) pairs, confirmed by in situ X-ray photoelectron spectroscopy (XPS) and Raman spectroscopy. Density functional theory (DFT) calculations indicated that the formation of Cu(I) could provide a reaction path with smaller energy barrier for NO3-RR, while Cu(II) effectively suppressed the competition of hydrogen evolution reaction (HER). As a result, CuO@NC catalyst achieved a Faradaic efficiency of 84.2% at -0.49 V versus reversible hydrogen electrode (RHE), and a NH3 yield rate of 17.2 mg h-1 mgcat.-1 at -0.79 V vs. RHE, higher than the HaberBosch process (<3.4 g h-1 gcat.-1 ). This work may open a new avenue for effective NO3-RR by modulating oxidation states. (c) 2024 Science Press and Dalian Institute of Chemical Physics, Chinese Academy of Sciences. Published by ELSEVIER B.V. and Science Press. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
引用
收藏
页码:106 / 113
页数:8
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