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Reducing acquisition times in multidimensional NMR with a time-optimized Fourier encoding algorithm.

Zhiyong Zhang1, Pieter E S Smith1, Lucio Frydman1

  • 1Department of Chemical Physics, Weizmann Institute of Science, Rehovot 76100, Israel.

The Journal of Chemical Physics
|November 24, 2014
PubMed
Summary
This summary is machine-generated.

This study introduces a novel fast nuclear magnetic resonance (NMR) acquisition method using tailored pulses for efficient spectral encoding. This technique accelerates data collection for complex samples, minimizing artifacts and scan times.

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Area of Science:

  • Analytical Chemistry
  • Spectroscopy
  • Biophysical Chemistry

Background:

  • Accelerating multidimensional nuclear magnetic resonance (NMR) acquisition is crucial for high-throughput studies and analyzing unstable samples.
  • Existing fast NMR methods like non-uniform sampling and Hadamard encoding address limitations of traditional fast-Fourier-transform (FFT) methods.

Purpose of the Study:

  • To explore an alternative fast NMR acquisition method leveraging a priori knowledge for efficient spectral encoding.
  • To develop a technique that minimizes scan times and potential artifacts in multidimensional NMR experiments.

Main Methods:

  • Utilizing polychromatic pulses and customized time delays to encode the indirect domain of NMR experiments.
  • Porting the indirect-domain encoding to the excitation process, avoiding artifacts common in non-uniform sampling.
  • Employing a standard 2D fast-Fourier-transform (FFT) for data processing.

Main Results:

  • Demonstrated efficient Fourier encoding of the indirect domain by integrating it into the excitation process.
  • Achieved a minimum number of scans equal to the number of resonances in the indirect dimension.
  • Successfully acquired 2D heteronuclear correlation NMR spectra for quinine and isobutyl propionic phenolic acid.

Conclusions:

  • The developed method offers a fast and artifact-free approach for multidimensional NMR acquisition.
  • The technique is readily automatable for complex applications like metabolomics, in-cell, and in vivo NMR.
  • This strategy enhances speed and temporal stability, critical for demanding NMR applications.