Issue 40, 2022

An anionic Zn-MOF composed of 1D columnar SBUs for highly C2H2/CH4 selective adsorption, dye adsorption and fluorescence sensing

Abstract

An anionic three-dimensional framework {(Me2NH2)2[Zn8(L)6(ad)44-O)]·10DMF·11H2O}(Zn-MOF, L2− = 4,4′-(3-aminopyridine-2,5-diyl)dibenzoic acid; ad = adeninate) with a column-layered structure was synthesized. Structural studies show that the Zn-MOF has octahedral cages [Zn8(ad)44-O)], the adjacent cages are connected by O atoms to form 1D columnar SBUs, and every four SBUs are connected by L2− to form a square channel 3D framework. Gas adsorption studies show that the BET and Langmuir surface areas of Zn-MOF are 1370.31 and 1478.04 m2 g−1, respectively, and the total pore volume for single-point adsorption is 0.528 cm3 g−1. The surface of the pores of the Zn-MOF is occupied by open metal sites and uncoordinated carboxyl groups, showing good capture ability for C2H2 and good adsorption selectivity for C2H2/CH4. More importantly, the free (CH3)2NH2+ ions present in the pores of the columnar layered Zn-MOF can cation-exchange with MB, MV, and RhB ions in aqueous solution. Therefore, Zn-MOF can not only effectively adsorb the cationic dyes MB, MV, and RhB, but also exhibit particularly selective sorption towards the mixed anion and cation dyes MB/MO and MV/MO. In addition, a series of fluorescence experiments show that Zn-MOF has good fluorescence properties, exhibiting highly selective and sensitive fluorescence detection and recognition performance for Fe3+ ions in aqueous solution with a low detection limit.

Graphical abstract: An anionic Zn-MOF composed of 1D columnar SBUs for highly C2H2/CH4 selective adsorption, dye adsorption and fluorescence sensing

Supplementary files

Article information

Article type
Paper
Submitted
03 Aug 2022
Accepted
27 Aug 2022
First published
29 Aug 2022

Dalton Trans., 2022,51, 15273-15281

An anionic Zn-MOF composed of 1D columnar SBUs for highly C2H2/CH4 selective adsorption, dye adsorption and fluorescence sensing

J. Chen, L. Zheng, X. Meng, Z. Gao, J. Zhao, B. Liu and T. Ding, Dalton Trans., 2022, 51, 15273 DOI: 10.1039/D2DT02518C

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