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A simple and non-destructive method for assessing the incorporation of bipyridine dicarboxylates as linkers within metal-organic frameworks


Reference:

Hendon, C. H., Bonnefoy, J., Quadrelli, E. A., Canivet, J., Chambers, M. B., Rousse, G., Walsh, A., Fontecave, M. and Mellot-Draznieks, C., 2016. A simple and non-destructive method for assessing the incorporation of bipyridine dicarboxylates as linkers within metal-organic frameworks. Chemistry - A European Journal, 22 (11), pp. 3713-3718.

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Official URL:

http://dx.doi.org/10.1002/chem.201600143

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Abstract

As a novel avenue for applications, metal-organic frameworks (MOFs) are increasingly used for heterogenizing catalytic molecular species as linkers into their crystalline framework. These multifunctional compounds can be accessed with mixed linkers synthesis or postsynthetic-exchange strategies. Major limitations still reside in their challenging characterization; in particular, to provide evidence of the genuine incorporation of the functionalized linkers into the framework and their quantification. Herein, we demonstrate that a combination of computational chemistry, spectroscopy and X-ray diffraction allows access to a non-destructive analysis of mixed-linker UiO-67-type materials featuring biphenyl- and bipyridine-dicarboxylates. Our UV/Vis-based methodology has been further applied to characterize a series of Rh-functionalized UiO-67-type catalysts. The proposed approach allows a recurrent key issue in the characterization of similar supported organometallic systems to be solved.

Details

Item Type Articles
CreatorsHendon, C. H., Bonnefoy, J., Quadrelli, E. A., Canivet, J., Chambers, M. B., Rousse, G., Walsh, A., Fontecave, M. and Mellot-Draznieks, C.
DOI10.1002/chem.201600143
Related URLs
URLURL Type
http://www.scopus.com/inward/record.url?scp=84959556075&partnerID=8YFLogxKUNSPECIFIED
Uncontrolled Keywordsmetal-organic frameworks,mixed linkers,postsynthetic exchange,uio-67,vis spectroscopy
DepartmentsFaculty of Science > Chemistry
Research CentresCentre for Sustainable Chemical Technologies
EPSRC Centre for Doctoral Training in Statistical Mathematics (SAMBa)
RefereedYes
StatusPublished
ID Code49904

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