Solid-state NMR spectroscopy: an advancing tool to analyse the structure and properties of metal-organic frameworks

Brunner E, Rauche M (2020)


Publication Type: Journal article

Publication year: 2020

Journal

Book Volume: 11

Pages Range: 4297-4304

Journal Issue: 17

DOI: 10.1039/d0sc00735h

Abstract

Metal-organic frameworks (MOFs) gain increasing interest due to their outstanding properties like extremely high porosity, structural variability, and various possibilities for functionalization. Their overall structure is usually determined by diffraction techniques. However, diffraction is often not sensitive for subtle local structural changes and ordering effects as well as dynamics and flexibility effects. Solid-state nuclear magnetic resonance (ssNMR) spectroscopy is sensitive for short range interactions and thus complementary to diffraction techniques. Novel methodical advances make ssNMR experiments increasingly suitable to tackle the above mentioned problems and challenges. NMR spectroscopy also allows study of host-guest interactions between the MOF lattice and adsorbed guest species. Understanding the underlying mechanisms and interactions is particularly important with respect to applications such as gas and liquid separation processes, gas storage, and others. Specialin situNMR experiments allow investigation of properties and functions of MOFs under controlled and application-relevant conditions. The present minireview explains the potential of various solid-state andin situNMR techniques and illustrates their application to MOFs by highlighting selected examples from recent literature.

Involved external institutions

How to cite

APA:

Brunner, E., & Rauche, M. (2020). Solid-state NMR spectroscopy: an advancing tool to analyse the structure and properties of metal-organic frameworks. Chemical Science, 11(17), 4297-4304. https://doi.org/10.1039/d0sc00735h

MLA:

Brunner, Eike, and Marcus Rauche. "Solid-state NMR spectroscopy: an advancing tool to analyse the structure and properties of metal-organic frameworks." Chemical Science 11.17 (2020): 4297-4304.

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