¹³C NMR Metabolomics: INADEQUATE Network Analysis

The many advantages of ¹³C NMR are often overshadowed by its intrinsically low sensitivity. Given that carbon makes up the backbone of most biologically relevant molecules, ¹³C NMR offers a straightforward measurement of these compounds. Two-dimensional ¹³C–¹³C 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 <i>in silico</i> INADEQUATE database. We demonstrate this approach using isotopically labeled <i>Caenorhabditis elegans</i> mixtures