Functionalized Base-Stable Metal-Organic Frameworks for Selective CO2 Adsorption and Proton Conduction

被引:44
|
作者
He, Tao [1 ]
Zhang, Yong-Zheng [1 ]
Wu, Hao [1 ]
Kong, Xiang-Jing [1 ]
Liu, Xiao-Min [1 ]
Xie, Lin-Hua [1 ]
Dou, Yibo [1 ]
Li, Jian-Rong [1 ]
机构
[1] Beijing Univ Technol, Beijing Key Lab Green Catalysis & Separat, Dept Chem & Chem Engn, Coll Environm & Energy Engn, Beijing 100124, Peoples R China
基金
中国博士后科学基金;
关键词
chemical stability; Ni-8; clusters; polypyrazolates; proton conduction; selective CO2 adsorption; MISSING-LINKER DEFECTS; GAS-ADSORPTION; HYDROGEN STORAGE; METHANE STORAGE; BAND-GAP; MOFS; CAPTURE; SEPARATION; SORPTION; SOLIDS;
D O I
10.1002/cphc.201700650
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
Metal-organic frameworks (MOFs) have shown great potential for application in various fields, including CO2 capture and proton conduction. For promoting their practical applications, both optimization of a given property and enhancement of chemical stability are crucial. In this work, three base-stable isostructural MOFs, [Ni-8(OH)(4)(H2O)(2)(BDP-X)(6)] (Ni-BDP-X; H2BDP= 1,4-bis(4-pyrazolyl)benzene, X= CHO, CN, COOH) with different functional groups, are designed, synthesized, and used in CO2 capture and proton conduction experiments. They possess face-centered cubic topological structures with functional nanoscale cavities. Importantly, these MOFs are fairly stable to maintain their structures in boiling water and 4M sodium hydroxide solution at room temperature. Functionalization endows them with tunable properties. In gas adsorption studies, these MOFs exhibit selective adsorption of CO2 over CH4 and N-2, and in particular the introduction of COOH groups provides the highest selectivity. In addition, the COOH-functionalized Ni-BDP exhibits a high proton conductivity of 2.22 x 10(-3) Scm(-1) at 80 degrees C and approximately 97% relative humidity.
引用
收藏
页码:3245 / 3252
页数:8
相关论文
共 50 条
  • [1] Selective CO2 adsorption based on amine functionalized metal-organic frameworks
    Li, Hao
    Wang, Kecheng
    Zhou, Hongcai
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2014, 248
  • [2] Selective CO2 Adsorption by Nitro Functionalized Metal Organic Frameworks
    Maity, Dilip Kumar
    Halder, Arijit
    Bhattacharya, Biswajit
    Das, Anamika
    Ghoshal, Debajyoti
    CRYSTAL GROWTH & DESIGN, 2016, 16 (03) : 1162 - 1167
  • [3] CO2 Adsorption in Metal-organic Frameworks
    Kim, Jun
    Kim, Hee-Young
    Ahn, Wha-Seung
    KOREAN CHEMICAL ENGINEERING RESEARCH, 2013, 51 (02): : 171 - 180
  • [4] Stable Amide-Functionalized Metal-Organic Framework with Highly Selective CO2 Adsorption
    Chen, Cong
    Zhang, Mingxing
    Zhang, Wenwei
    Bai, Junfeng
    INORGANIC CHEMISTRY, 2019, 58 (04) : 2729 - 2735
  • [5] CO2 Adsorption in Azobenzene Functionalized Stimuli Responsive Metal-Organic Frameworks
    Huang, Runhong
    Hill, Matthew R.
    Babarao, Ravichandar
    Medhekar, Nikhil V.
    JOURNAL OF PHYSICAL CHEMISTRY C, 2016, 120 (30): : 16658 - 16667
  • [6] Dual-Functionalized Metal-Organic Frameworks Constructed from Hexatopic Ligand for Selective CO2 Adsorption
    Zhang, Shi-Yuan
    Zhang, Xiaoping
    Li, Huimin
    Niu, Zheng
    Shi, Wei
    Cheng, Peng
    INORGANIC CHEMISTRY, 2015, 54 (05) : 2310 - 2314
  • [7] Selective CO2 Adsorption By Methyl-Functionalized Metal-Organic Framework
    Ma, Deyun
    Li, Zhi
    Jiang, Fei
    Ma, Yanhua
    Lin, Wanchun
    Wen, Meiling
    Liu, Bei
    Xu, Jun
    CHEMISTRYSELECT, 2017, 2 (26): : 7821 - 7826
  • [8] Selective CO2 adsorption in water-stable alkaline-earth based metal-organic frameworks
    Tang, Yiwen
    Kourtellaris, Andreas
    Tasiopoulos, Anastasios J.
    Teat, Simon J.
    Dubbeldam, David
    Rothenberg, Gadi
    Tanase, Stefania
    INORGANIC CHEMISTRY FRONTIERS, 2018, 5 (03): : 541 - 549
  • [9] Proton Conduction with Metal-Organic Frameworks
    Shimizu, George K. H.
    Taylor, Jared M.
    Kim, SiRim
    SCIENCE, 2013, 341 (6144) : 354 - 355
  • [10] CO2 adsorption performance of functionalized metal-organic frameworks of varying topologies by molecular simulations
    Li, Wei
    Li, Song
    CHEMICAL ENGINEERING SCIENCE, 2018, 189 : 65 - 74