Issue 26, 2023

Gel transformation as a general strategy for fabrication of highly porous multiscale MOF architectures

Abstract

The structure and chemistry of metal–organic frameworks or MOFs dictate their properties and functionalities. However, their architecture and form are essential for facilitating the transport of molecules, the flow of electrons, the conduction of heat, the transmission of light, and the propagation of force, which are vital in many applications. This work explores the transformation of inorganic gels into MOFs as a general strategy to construct complex porous MOF architectures at nano, micro, and millimeter length scales. MOFs can be induced to form along three different pathways governed by gel dissolution, MOF nucleation, and crystallization kinetics. Slow gel dissolution, rapid nucleation, and moderate crystal growth result in a pseudomorphic transformation (pathway 1) that preserves the original network structure and pores, while a comparably faster crystallization displays significant localized structural changes but still preserves network interconnectivity (pathway 2). MOF exfoliates from the gel surface during rapid dissolution, thus inducing nucleation in the pore liquid leading to a dense assembly of percolated MOF particles (pathway 3). Thus, the prepared MOF 3D objects and architectures can be fabricated with superb mechanical strength (>98.7 MPa), excellent permeability (>3.4 × 10−10 m2), and large surface area (1100 m2 g−1) and mesopore volumes (1.1 cm3 g−1).

Graphical abstract: Gel transformation as a general strategy for fabrication of highly porous multiscale MOF architectures

Supplementary files

Article information

Article type
Edge Article
Submitted
17 fev 2023
Accepted
26 may 2023
First published
14 iyn 2023
This article is Open Access

All publication charges for this article have been paid for by the Royal Society of Chemistry
Creative Commons BY-NC license

Chem. Sci., 2023,14, 7114-7125

Gel transformation as a general strategy for fabrication of highly porous multiscale MOF architectures

Z. Liu, J. L. Navas, W. Han, M. R. Ibarra, J. K. Cho Kwan and K. L. Yeung, Chem. Sci., 2023, 14, 7114 DOI: 10.1039/D3SC00905J

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