Sulfonate-Functionalized Metal-Organic Framework as a Porous "Proton Reservoir" for Boosting Electrochemical Reduction of Nitrate to Ammonia

被引:1
|
作者
Tsai, Yun-Shan [1 ]
Yang, Shang-Cheng [1 ]
Yang, Tzu-Hsien [1 ,2 ]
Wu, Chung-Huan [1 ]
Lin, Tzu-Chi [1 ]
Kung, Chung-Wei [1 ,2 ]
机构
[1] Natl Cheng Kung Univ, Dept Chem Engn, Tainan 70101, Taiwan
[2] Natl Cheng Kung Univ, Acad Innovat Semicond & Sustainable Mfg, Program Key Mat, Tainan 70101, Taiwan
关键词
ammonia production; electrocatalysis; ionicMOF; microenvironment; postsynthetic modification; zirconium-based MOF; WATER OXIDATION; ADSORPTION; PLATFORM; NU-1000; CU;
D O I
10.1021/acsami.4c14786
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
The electrochemical reduction reaction of nitrate (NO3RR) is an attractive route to produce ammonia at ambient conditions, but the conversion from nitrate to ammonia, which requires nine protons, has to compete with both the two-proton process of nitrite formation and the hydrogen evolution reaction. Extensive research efforts have thus been made in recent studies to develop electrocatalysts for the NO3RR facilitating the production of ammonia. Rather than designing another better electrocatalyst, herein, we synthesize an electrochemically inactive, porous, and chemically robust zirconium-based metal-organic framework (MOF) with enriched intraframework sulfonate groups, SO3-MOF-808, as a coating deposited on top of the catalytically active copper-based electrode. Although both the overall reaction rate and electrochemically active surface area of the electrode are barely affected by the MOF coating, with negatively charged sulfonate groups capable of enriching more protons near the electrode surface, the MOF coating significantly promotes the selectivity of the NO3RR toward the production of ammonia. In contrast, the use of MOF coating with positively charged trimethylammonium groups to repulse protons strongly facilitates the conversion of nitrate to nitrite, with selectivity of more than 90% at all potentials. Under the optimal operating conditions, the copper electrocatalyst with SO3-MOF-808 coating can achieve a Faradaic efficiency of 87.5% for ammonia production, a nitrate-to-ammonia selectivity of 95.6%, and an ammonia production rate of 97 mu mol/cm2 h, outperforming all of those achieved by both the pristine copper (75.0%; 93.9%; 87 mu mol/cm2 h) and copper with optimized Nafion coating (83.3%; 86.9%; 64 mu mol/cm2 h). Findings here suggest the function of MOF as an advanced alternative to the commercially available Nafion to enrich protons near the surface of electrocatalyst for NO3RR, and shed light on the potential of utilizing such electrochemically inactive MOF coatings in a range of proton-coupled electrocatalytic reactions.
引用
收藏
页码:62185 / 62194
页数:10
相关论文
共 50 条
  • [21] Advances of copper-based metal-organic frameworks and their derivatives in nitrate reduction to ammonia
    Xu, Honglin
    Shi, Feng
    Du, Jinbao
    Xu, Sen
    Wang, Kaichen
    Wang, Jinguo
    JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING, 2025, 13 (02):
  • [22] Droplet-based millifluidic synthesis of a proton-conducting sulfonate metal-organic framework
    Sun, Chao
    Barton, Matthew
    Pask, Christopher M.
    Edokali, Mohamed
    Yang, Lina
    Britton, Andrew J.
    Micklethwaite, Stuart
    Iacoviello, Francesco
    Hassanpour, Ali
    Besenhard, Maximilian
    Drummond-Brydson, Rik
    Wu, Ke-Jun
    Collins, Sean M.
    CHEMICAL ENGINEERING JOURNAL, 2023, 474
  • [23] Simultaneously anchoring free carboxyl and sulfonate groups into a metal-organic framework for high proton conductivity
    Shi, Ruimin
    Zhang, Zhengqing
    Yang, Fan
    Zhong, Chongli
    MICROPOROUS AND MESOPOROUS MATERIALS, 2022, 343
  • [24] Revealing the activity origin of ultrathin nickel metal-organic framework nanosheet catalysts for selective electrochemical nitrate reduction to ammonia: Experimental and density functional theory investigations
    Pan, Fan
    Zhou, Jianjun
    Wang, Tian
    Zhu, Yunqing
    Ma, Hongrui
    Niu, Junfeng
    Wang, Chuanyi
    JOURNAL OF COLLOID AND INTERFACE SCIENCE, 2023, 638 : 26 - 38
  • [25] Molecular Engineering of a Metal-Organic Polymer for Enhanced Electrochemical Nitrate-to-Ammonia Conversion and Zinc Nitrate Batteries
    Zhang, Rong
    Hong, Hu
    Liu, Xinghui
    Zhang, Shaoce
    Li, Chuan
    Cui, Huilin
    Wang, Yanbo
    Liu, Jiahua
    Hou, Yue
    Li, Pei
    Huang, Zhaodong
    Guo, Ying
    Zhi, Chunyi
    ANGEWANDTE CHEMIE-INTERNATIONAL EDITION, 2023, 62 (48)
  • [26] Highly Efficient Nitrogen Reduction to Ammonia through the Cooperation of Plasma and Porous Metal-Organic Framework Reactors with Confined Water
    Guo, Shoujun
    Zhang, Jiangwei
    Fan, Guilan
    Shen, Ao
    Wang, Xiaosong
    Guo, Yan
    Ding, Junfang
    Han, Chenhui
    Gu, Xiaojun
    Wu, Limin
    ANGEWANDTE CHEMIE-INTERNATIONAL EDITION, 2024, 63 (39)
  • [27] In Situ Clustering of Single-Atom Copper Precatalysts in a Metal-Organic Framework for Efficient Electrocatalytic Nitrate-to-Ammonia Reduction
    Xu, Yan-Tong
    Xie, Meng-Yuan
    Zhong, Huiqiong
    Cao, Yan
    ACS CATALYSIS, 2022, 12 (14) : 8698 - 8706
  • [28] Electrochemical Sensor for Lead Cation Sensitized with a DNA Functionalized Porphyrinic Metal-Organic Framework
    Cui, Lin
    Wu, Jie
    Li, Jie
    Ju, Huangxian
    ANALYTICAL CHEMISTRY, 2015, 87 (20) : 10635 - 10641
  • [29] Metal-organic framework composites for electrochemical CO2 reduction reaction
    Adegoke, Kayode A.
    Ighalo, Joshua O.
    Conradie, Jeanet
    Ohoro, Chinemerem R.
    Amaku, James F.
    Oyedotun, Kabir O.
    Maxakato, Nobanathi W.
    Akpomie, Kovo G.
    Okeke, Emmanuel Sunday
    Olisah, Chijioke
    Malloum, Alhadji
    SEPARATION AND PURIFICATION TECHNOLOGY, 2024, 341
  • [30] Filling Mesopores of Conductive Metal-Organic Frameworks with Cu Clusters for Selective Nitrate Reduction to Ammonia
    Zhu, Xiaojuan
    Huang, Haicai
    Zhang, Huaifang
    Zhang, Yu
    Shi, Peidong
    Qu, Kaiyu
    Cheng, Shi-Bo
    Wang, An-Liang
    Lu, Qipeng
    ACS APPLIED MATERIALS & INTERFACES, 2022, 14 (28) : 32176 - 32182