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Scientific article
English

High resolution in the indirectly detected dimension exploiting the processing of folded spectra

Contributors

Jeannerat, Damien

Published in

Magnetic resonance in chemistry, vol. 38, no. 6, p. 415-422

Publication date

2000

Abstract

Multi-dimensional experiments using proton detection such as HSQC are often used to study organic and bioorganic molecules. Whereas the resolution in the directly detected dimension is normally high, the resolution in the indirectly detected dimension is often much lower, limiting the unambiguous assignment to carbon or nitrogen atoms. The principle exploited here consists in taking advantage of the fact that spectral resolution increases when spectral widths are reduced. The price to pay for such resolution enhancement is that signals fold into the smaller window, making their chemical shift ambiguous. The software presented here efficiently assists spectroscopists to choose the correct chemical shift out of a large number of possibilities. It checks for their compatibility with signals in reference spectra. When the indirectly detected dimension is not too crowded, such processing is straightforward and unambiguous. It thereby permits one to attain the natural linewidth in the indirectly detected dimension. In the case of HSQC spectra it reaches the resolution available in proton decoupled one-dimensional spectra. A program for processing folded two-dimensional spectra is available. It was applied to the 1H- 13C HSQC of cholesterol.

Keywords

  • NMR
  • 1H NMR
  • 13C NMR
  • HSQC
  • Alias signals
  • Folded spectra
  • Cholesterol

UNIGE affiliation entities

Citation (ISO format)

JEANNERAT, Damien. High resolution in the indirectly detected dimension exploiting the processing of folded spectra. In: Magnetic resonance in chemistry, 2000, vol. 38, n° 6, p. 415–422. doi: 10.1002/1097-458X(200006)38:6%3C415::AID-MRC665%3E3.0.CO;2-U

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Article

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Journal ISSN

0749-1581
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Technical informations

Creation

21/06/2010 10:28:25

First validation

21/06/2010 10:28:25

Update

14/03/2023 15:47:10

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14/03/2023 15:47:10

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