A targeted metabolomics approach using statistical methods, can quantify and reliably identify a substantial set of compounds. But this approach might miss unexpected changes in metabolites which are not part of the target compound list analyzed.
NMR and UHR-TOF-MS techniques enable a non-targeted multi marker approach that is based on the simultaneous assessment of deviations of hundreds of compounds. Using the same data a targeted data evaluation workflow enables to identify already known compounds.
NMR-based urine screening as well as the Juice- and WineScreener are good examples for successful combination based on a targeted and non-targeted Multi Marker Analysis.