Issue 26, 2018

Rapid acquisition of data dense solid-state CPMG NMR spectral sets using multi-dimensional statistical analysis

Abstract

The development of multi-dimensional statistical methods has been demonstrated on variable contact time (VCT) 29Si{1H} cross-polarization magic angle spinning (CP/MAS) data sets collected using Carr–Purcell–Meiboom–Gill (CPMG) type acquisition. These methods utilize the transformation of the collected 2D VCT data set into a 3D data set and use tensor-rank decomposition to extract the spectral components that vary as a function of transverse relaxation time (T2) and CP contact time. The result is a data dense spectral set that can be used to reconstruct CP/MAS spectra at any contact time with a high signal to noise ratio and with an excellent agreement to 29Si{1H} CP/MAS spectra collected using conventional acquisition. These CPMG data can be collected in a fraction of time that would be required to collect a conventional VCT data set. We demonstrate the method on samples of functionalized mesoporous silica materials and show that the method can provide valuable surface specific information about their functional chemistry.

Graphical abstract: Rapid acquisition of data dense solid-state CPMG NMR spectral sets using multi-dimensional statistical analysis

Supplementary files

Article information

Article type
Paper
Submitted
13 Apr 2018
Accepted
11 Jun 2018
First published
20 Jun 2018

Phys. Chem. Chem. Phys., 2018,20, 18082-18088

Author version available

Rapid acquisition of data dense solid-state CPMG NMR spectral sets using multi-dimensional statistical analysis

H. E. Mason, E. C. Uribe and J. A. Shusterman, Phys. Chem. Chem. Phys., 2018, 20, 18082 DOI: 10.1039/C8CP02382D

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