Theoretical Design of the Electrocatalytic Urea Synthesis from Carbon Dioxide and Nitric Oxides

被引:6
作者
Long, Jun [1 ]
Luan, Dong [1 ]
Fu, Xiaoyan [1 ]
Li, Huan [1 ,2 ]
Xiao, Jianping [1 ,2 ]
机构
[1] Chinese Acad Sci, Dalian Inst Chem Phys, State Key Lab Catalysis, Dalian Natl Lab Clean Energy, Dalian 116023, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
来源
ACS CATALYSIS | 2024年 / 14卷 / 19期
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
electrocatalysis; urea synthesis; C-Ncoupling; constant potential; DFT calculations; GAS-DIFFUSION ELECTRODES; ELECTROCHEMICAL REDUCTION; CO SELECTIVITY; IONS; ELECTROREDUCTION;
D O I
10.1021/acscatal.4c03785
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Recently, electrochemical coreduction of CO2 and NOx has been proposed as a sustainable route for urea synthesis. Although Zn is the best monometallic catalyst, the urea selectivity on Zn is very low. Toward the rational design of catalysts, the reaction mechanism of urea synthesis was unveiled based on an "electric field controlling constant potential" method, which can directly address the effects of explicit solvent, electric field, and electrode potential on reaction intermediates and transition states. We found that the couplings between CO* and NOH* and CONH* and N* are most favorable for the formation of two C-N bonds of urea, respectively. According to this mechanism, we not only reproduced the experimental Faradaic efficiencies of different products on Zn but also rationalized the activity trend of urea synthesis over a set of catalysts. More interestingly, we have revealed that adsorbed N* species on Fe and Mo have an essential promotion on urea production. Guided by the mechanistic insights, we finally proposed a compressive strain engineering to tune the d-band center of Zn, which can decrease the two C-N coupling barriers to 0.06 and 0 eV, respectively, and deliver a remarkable urea Faradaic efficiency (FE) of 88.5% using CO and NO as reactants.
引用
收藏
页码:14678 / 14687
页数:10
相关论文
共 42 条
  • [1] Density functional theory study of carbon dioxide electrochemical reduction on the Fe(100) surface
    Bernstein, Nicole J.
    Akhade, Sneha A.
    Janik, Michael J.
    [J]. PHYSICAL CHEMISTRY CHEMICAL PHYSICS, 2014, 16 (27) : 13708 - 13717
  • [2] Adsorption of large ions from an electrolyte solution: a modified Poisson-Boltzmann equation
    Borukhov, I
    Andelman, D
    Orland, H
    [J]. ELECTROCHIMICA ACTA, 2000, 46 (2-3) : 221 - 229
  • [3] Electrochemical Barriers Made Simple
    Chan, Karen
    Norskov, Jens K.
    [J]. JOURNAL OF PHYSICAL CHEMISTRY LETTERS, 2015, 6 (14): : 2663 - 2668
  • [4] Reversibility Iteration Method for Understanding Reaction Networks and for Solving Microkinetics in Heterogeneous Catalysis
    Chen, Jian-Fu
    Mao, Yu
    Wang, Hai-Feng
    Hu, P.
    [J]. ACS CATALYSIS, 2016, 6 (10): : 7078 - 7087
  • [5] CATKINAS: A large-scale catalytic microkinetic analysis software for mechanism auto-analysis and catalyst screening
    Chen, Jianfu
    Jia, Menglei
    Hu, Peijun
    Wang, Haifeng
    [J]. JOURNAL OF COMPUTATIONAL CHEMISTRY, 2021, 42 (05) : 379 - 391
  • [6] Chen WY, 2022, ACCOUNTS CHEM RES, V55, P3230, DOI 10.1021/acs.accounts.2c00483
  • [7] Taming Electrons in Pt/C Catalysts to Boost the Mesokinetics of Hydrogen Production
    Chen, Wenyao
    Fu, Wenzhao
    Duan, Xuezhi
    Chen, Bingxu
    Qian, Gang
    Si, Rui
    Zhou, Xinggui
    Yuan, Weikang
    Chen, De
    [J]. ENGINEERING, 2022, 14 : 124 - 133
  • [8] Powering denitrification: the perspectives of electrocatalytic nitrate reduction
    Duca, Matteo
    Koper, Marc T. M.
    [J]. ENERGY & ENVIRONMENTAL SCIENCE, 2012, 5 (12) : 9726 - 9742
  • [9] Understanding the Product Selectivity of Syngas Conversion on ZnO Surfaces with Complex Reaction Network and Structural Evolution
    Fu, Xiaoyan
    Li, Jiayi
    Long, Jun
    Guo, Chenxi
    Xiao, Jianping
    [J]. ACS CATALYSIS, 2021, 11 (19) : 12264 - 12273
  • [10] Toward computational design of chemical reactions with reaction phase diagram
    Guo, Chenxi
    Fu, Xiaoyan
    Long, Jun
    Li, Huan
    Qin, Gangqiang
    Cao, Ang
    Jing, Huijuan
    Xiao, Jianping
    [J]. WILEY INTERDISCIPLINARY REVIEWS-COMPUTATIONAL MOLECULAR SCIENCE, 2021, 11 (05)