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Nonlinear sampling in ultrafast Laplace NMR.

Vladimir V Zhivonitko1, Md Sharif Ullah1, Ville-Veikko Telkki1

  • 1NMR Research Unit, University of Oulu, P.O. Box 3000, 90014 Oulu, Finland.

Journal of Magnetic Resonance (San Diego, Calif. : 1997)
|August 25, 2019
PubMed
Summary

Ultrafast Laplace Nuclear Magnetic Resonance (UF-LNMR) speeds up experiments. A new nonlinear sampling method with frequency-swept pulses improves resolution for relaxation and diffusion measurements.

Keywords:
Laplace NMRNMR relaxationNon-uniform samplingUltrafast NMR

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Area of Science:

  • Nuclear Magnetic Resonance (NMR) Spectroscopy
  • Physical Chemistry
  • Materials Science

Background:

  • Multidimensional relaxation and diffusion measurements in NMR are time-consuming.
  • Ultrafast Laplace Nuclear Magnetic Resonance (UF-LNMR) significantly reduces experiment duration.
  • Optimizing data acquisition is crucial for enhancing NMR parameter resolution.

Purpose of the Study:

  • To introduce a novel nonlinear sampling strategy for the indirect dimension in UF-LNMR.
  • To demonstrate the application of frequency-swept pulses for optimized data acquisition.
  • To improve the resolution of NMR parameters obtained from relaxation and diffusion measurements.

Main Methods:

  • Implementation of nonlinear (logarithmic) sampling in the indirect dimension of UF-LNMR experiments.
  • Utilizing frequency-swept pulses with a nonlinear time-dependent frequency increase.
  • Acquisition and processing of exponential experimental data.

Main Results:

  • Successful demonstration of nonlinear sampling in UF-LNMR.
  • Optimized detection of exponential experimental data.
  • Significantly improved resolution of Laplace Nuclear Magnetic Resonance (LNMR) parameters.

Conclusions:

  • Nonlinear sampling with frequency-swept pulses is an effective method for UF-LNMR.
  • This approach enhances the efficiency and resolution of multidimensional NMR measurements.
  • The method offers a significant advancement for relaxation and diffusion studies.