The identification of metabolites detected in untargeted UHPLC-MS metabolomics studies can be a significant hurdle and is essential to derive biological knowledge from data. Chromatographic retention time, full-scan accurate m/z and MSn data can all be used, in combination with chemical standards and in-silico workflows where available, to identify metabolites.
- Learn about untargeted metabolomics and its associated challenges with compound annotation and identification.
- Discover how new advanced MS workflows with intelligent data acquisition leads to more targeted and confident metabolite identifications.
- Discover how software tools and high resolution accurate mass (HRAM) databases and libraries delivers a more robust solution for identification and structural annotation of unknown compounds.