Volume 53, Issue 25 pp. 6464-6467
Communication

Accelerating Diffusion-Ordered NMR Spectroscopy by Joint Sparse Sampling of Diffusion and Time Dimensions

Mateusz Urbańczyk

Mateusz Urbańczyk

Faculty of Chemistry, Biological and Chemical Research Centre, University of Warsaw, Żwirki i Wigury 101, Warsaw, 02-089 (Poland)

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Prof. Dr. Wiktor Koźmiński

Prof. Dr. Wiktor Koźmiński

Faculty of Chemistry, Biological and Chemical Research Centre, University of Warsaw, Żwirki i Wigury 101, Warsaw, 02-089 (Poland)

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Dr. Krzysztof Kazimierczuk

Corresponding Author

Dr. Krzysztof Kazimierczuk

Centre of New Technologies, University of Warsaw, Żwirki iWigury 93, Warsaw, 02-089 (Poland)

Centre of New Technologies, University of Warsaw, Żwirki iWigury 93, Warsaw, 02-089 (Poland)Search for more papers by this author
First published: 24 April 2014
Citations: 29

We thank the Foundation for Polish Science for support within the TEAM Programme and the Polish National Science Centre for support (HARMONIA grant DEC-2013/08/M/ST4/00975 and SONATA BIS 2 grant DEC-2012/07/E/ST4/01386). This study was carried out at the Biological and Chemical Research Centre, University of Warsaw, established within a project co-financed by the European Union through the European Regional Development Fund under the Operational Programme Innovative Economy (2007–2013). Numerical computations were performed at the Interdisciplinary Centre for Computational and Mathematical Modelling (ICM), University of Warsaw (G52-15).

Graphical Abstract

Diffusion-ordered multidimensional NMR spectroscopy is a valuable technique for the analysis of complex mixtures, but the sampling of a multidimensional signal can be very time-consuming. Various sparse sampling techniques have been proposed to accelerate the measurement, but they have always been limited to frequency dimensions of NMR spectra. It is now revealed how sparse sampling can be extended to diffusion dimensions.

Abstract

Diffusion-ordered multidimensional NMR spectroscopy is a valuable technique for the analysis of complex chemical mixtures. However, this method is very time-consuming because of the costly sampling of a multidimensional signal. Various sparse sampling techniques have been proposed to accelerate such measurements, but they have always been limited to frequency dimensions of NMR spectra. It is now revealed how sparse sampling can be extended to diffusion dimensions.

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