(13)C NMR Metabolomics: INADEQUATE Network Analysis

Anal Chem. 2015 Jun 2;87(11):5698-706. doi: 10.1021/acs.analchem.5b00867. Epub 2015 May 14.


The many advantages of (13)C NMR are often overshadowed by its intrinsically low sensitivity. Given that carbon makes up the backbone of most biologically relevant molecules, (13)C NMR offers a straightforward measurement of these compounds. Two-dimensional (13)C-(13)C correlation experiments like INADEQUATE (incredible natural abundance double quantum transfer experiment) are ideal for the structural elucidation of natural products and have great but untapped potential for metabolomics analysis. We demonstrate a new and semiautomated approach called INETA (INADEQUATE network analysis) for the untargeted analysis of INADEQUATE data sets using an in silico INADEQUATE database. We demonstrate this approach using isotopically labeled Caenorhabditis elegans mixtures.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Animals
  • Caenorhabditis elegans / metabolism
  • Carbon Isotopes / analysis
  • Magnetic Resonance Spectroscopy*
  • Metabolomics / methods*


  • Carbon Isotopes