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Supporting the assignment of NMR spectra with variable-temperature experiments.

Ewa K NawrockaMichał JadwiszczakPiotr J LeszczyńskiKrzysztof Kazimierczuk
Published in: Magnetic resonance in chemistry : MRC (2024)
Nuclear magnetic resonance (NMR) spectroscopy is one of the most powerful tools in analytical chemistry. An important step in the analysis of NMR data is the assignment of resonance frequencies to the corresponding atoms in the molecule being investigated. The traditional approach considers the spectrum's characteristic parameters: chemical shift values, internuclear couplings, and peak intensities. In this paper, we show how to support the process of assigning a series of spectra of similar organic compounds by using temperature coefficients, that is, the rates of change in chemical shift values associated with given changes in temperature.
Keyphrases
  • magnetic resonance
  • high resolution
  • solid state
  • density functional theory
  • contrast enhanced
  • machine learning
  • big data
  • computed tomography
  • liquid chromatography