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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
chemical engineering
Discovery and introduction of a (3,18)-connected net as an ideal blueprint for the design of metal-organic frameworks
Nature Chemistry, Volume 6, No. 8, Year 2014
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Description
Metal-organic frameworks (MOFs) are a promising class of porous materials because it is possible to mutually control their porous structure, composition and functionality. However, it is still a challenge to predict the network topology of such framework materials prior to their synthesis. Here we use a new rare earth (RE) nonanuclear carboxylate-based cluster as an 18-connected molecular building block to form a gea-MOF (gea-MOF-1) based on a (3,18)-connected net. We then utilized this gea net as a blueprint to design and assemble another MOF (gea-MOF-2). In gea-MOF-2, the 18-connected RE clusters are replaced by metal-organic polyhedra, peripherally functionalized so as to have the same connectivity as the RE clusters. These metal-organic polyhedra act as supermolecular building blocks when they form gea-MOF-2. The discovery of a (3,18)-connected MOF followed by deliberate transposition of its topology to a predesigned second MOF with a different chemical system validates the prospective rational design of MOFs. © 2014 Macmillan Publishers Limited. All rights reserved.
Authors & Co-Authors
Guillerm, Vincent
Saudi Arabia, Thuwal
King Abdullah University of Science and Technology
Weseliński, Łukasz J.
Saudi Arabia, Thuwal
King Abdullah University of Science and Technology
Belmabkhout, Youssef
Saudi Arabia, Thuwal
King Abdullah University of Science and Technology
Cairns, Amy J.
Saudi Arabia, Thuwal
King Abdullah University of Science and Technology
D’Elia, Valerio
Saudi Arabia, Thuwal
King Abdullah University of Science and Technology
Wojtas, Łukasz
United States, Tampa
University of South Florida, Tampa
Adil, Karim
Saudi Arabia, Thuwal
King Abdullah University of Science and Technology
Eddaoudi, M.
Saudi Arabia, Thuwal
King Abdullah University of Science and Technology
Statistics
Citations: 354
Authors: 8
Affiliations: 2
Identifiers
Doi:
10.1038/nchem.1982
e-ISSN:
17554349
Study Design
Cohort Study