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Extended automated quantification algorithm (AQuA) for targeted 1 H NMR metabolomics of highly complex samples: application to plant root exudates.

Elin AlexanderssonCorine SandströmJohan MeijerGustav NestorAnders BrobergHanna E Röhnisch
Published in: Metabolomics : Official journal of the Metabolomic Society (2023)
H NMR spectra containing broad background signals and baseline distortions. Although the method was developed for plant root exudates, it should be readily applicable to any NMR spectra displaying similar issues as it is purely computational and applied to NMR spectra post-acquisition.
Keyphrases
  • magnetic resonance
  • solid state
  • high resolution
  • machine learning
  • density functional theory
  • deep learning
  • mass spectrometry
  • high throughput
  • cancer therapy