Scientific article
English

Reconstruction of full high-resolution HSQC using signal split in aliased spectra

Published in

Magnetic resonance in chemistry, vol. 53, no. 11, p. 894-900

Publication date

2015

Abstract

Resolution enhancement is a long-sought goal in NMR spectroscopy. In conventional multidimensional NMR experiments, such as the 1H-13C HSQC, the resolution in the indirect dimensions is typically 100 times lower as in 1D spectra because it is limited by the experimental time. Reducing the spectral window can significantly increase the resolution but at the cost of ambiguities in frequencies as a result of spectral aliasing. Fortunately, this information is not completely lost and can be retrieved using methods in which chemical shifts are encoded in the aliased spectra and decoded after processing to reconstruct high-resolution 1H-13C HSQC spectrum with full spectral width and a resolution similar to that of 1D spectra. We applied a new reconstruction method, RHUMBA (reconstruction of high-resolution using multiplet built on aliased spectra), to spectra obtained from the differential evolution for non-ambiguous aliasing-HSQC and the new AMNA (additional modulation for non-ambiguous aliasing)-HSQC experiments. The reconstructed spectra significantly facilitate both manual and automated spectral analyses and structure elucidation based on heteronuclear 2D experiments. The resolution is enhanced by two orders of magnitudes without the usual complications due to spectral aliasing.

Keywords

  • NMR
  • 13C
  • 1H
  • HSQC
  • Fast method
  • Spectral aliasing
  • NASCA
  • AMNA
  • 2D spectra reconstruction
  • RHUMBA

UNIGE research groups

Citation (ISO format)

FOROOZANDEH, Mohammadali, JEANNERAT, Damien. Reconstruction of full high-resolution HSQC using signal split in aliased spectra. In: Magnetic resonance in chemistry, 2015, vol. 53, n° 11, p. 894–900. doi: 10.1002/mrc.4283

Main files (1)

Article (Published version)

Identifiers

Journal ISSN

0749-1581
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Technical informations

Creation

21/10/2015 19:02:00

First validation

21/10/2015 19:02:00

Update

14/03/2023 23:45:42

Status update

14/03/2023 23:45:42

Last indexation

31/10/2024 01:42:17
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