Design of a Quantitative DEPT NMR Experiment for Carbon-13 Acquisitions

Abstract

A scheme has been developed to eliminate virtually all signal intensity dependence on lJCH in polarization transfers between 'H and Carbon-13 nuclei, reducing the differences in signal intensity to only l .5% over the entire natural IJQ range. The scheme relics on the summation of time-domain data acquired with four suitably selected delta delays so that the J dependence is essentially cancelled in the final signal averaged free induction decay. These A delays have been incorporated into the DEPT pulse sequence to create sensitivity-enhanced experiments for collecting quantitative Carbon-13 {'H} spectra. Four experiments, each with unique read pulse angles, give quantitative spectra with 200-300% more sensitivity than conventional Carbon-13 spectra acquired with inverse-gated 'H decoupling. The experiments are ideal for recording spectra with improved quantitative information or for substantially reducing the long acquisition times indicative of quantitative C experiments. The ability of the experiments to provide quantitative spectra was demonstrated with a simple ethylbenzene solution; however, they can easily be adapted to various applications for analysis of complex mixtures.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2011
Accession Number
ADA552218

Entities

People

  • Terry J. Henderson

Organizations

  • Edgewood Chemical Biological Center

Tags

Communities of Interest

  • Counter WMD
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Acquisition
  • Chemical Analysis
  • Chemical Shifts
  • Complex Mixtures
  • Decoupling
  • Integrals
  • Intensity
  • Magnetic Phenomena
  • Magnetic Resonance
  • Molecular Dynamics
  • Nuclear Magnetic Resonance
  • Polarization
  • Sensitivity
  • Sequences
  • Spectra
  • Time Domain
  • Two Dimensional

Fields of Study

  • Physics

Readers

  • Computational Modeling and Simulation
  • Materials Science and Engineering.
  • Radar Systems Engineering.