4.6 Article

Proton-Conductive 3D LnIII Metal-Organic Frameworks for Formic Acid Impedance Sensing

期刊

CHEMISTRY-AN ASIAN JOURNAL
卷 15, 期 1, 页码 182-190

出版社

WILEY-V C H VERLAG GMBH
DOI: 10.1002/asia.201901499

关键词

Imidazole dicarboxylate; Impedance sensor; Mechanism; MOFs; Proton conduction

资金

  1. National Natural Science Foundation of China [21571156]

向作者/读者索取更多资源

Metal-organic frameworks (MOFs) as new classes of proton-conducting materials have been highlighted in recent years. Nevertheless, the exploration of proton-conducting MOFs as formic acid sensors is extremely lacking. Herein, we prepared two highly stable 3D isostructural lanthanide(III) MOFs, {(M(mu(3)-HPhIDC)(mu(2)-C2O4)(0.5)(H2O))center dot 2 H2O}(n) (M=Tb (ZZU-1); Eu (ZZU-2)) (H3PhIDC=2-phenyl-1H-imidazole-4,5-dicarboxylic acid), in which the coordinated and uncoordinated water molecules and uncoordinated imidazole N atoms play decisive roles for the high-performance proton conduction and recognition ability for formic acid. Both ZZU-1 and ZZU-2 show temperature- and humidity-dependent proton-conducting characteristics with high conductivities of 8.95x10(-4) and 4.63x10(-4) S cm(-1) at 98 % RH and 100 degrees C, respectively. Importantly, the impedance values of the two MOF-based sensors decrease upon exposure to formic acid vapor generated from formic aqueous solutions at 25 degrees C with good reproducibility. By comparing the changes of impedance values, we can indirectly determine the concentration of HCOOH in aqueous solution. The results showed that the lowest detectable concentrations of formic acid aqueous solutions are 1.2x10(-2) mol L-1 by ZZU-1 and 2.0x10(-2) mol L-1 by ZZU-2. Furthermore, the two sensors can distinguish formic acid vapor from interfering vapors including MeOH, N-hexane, benzene, toluene, EtOH, acetone, acetic acid and butane. Our research provides a new platform of proton-conductive MOFs-based sensors for detecting formic acid.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据