Accurate metabolite identification is needed to maximize the impact of discovery metabolomics and lipidomics, to effectively map the role of key biomarkers identified in a study and support translation to clinical use. Sapient has focused extensively on building metabolite identification analysis capabilities to enhance the speed, quality, and extent of metabolite identification so that more statistically significant metabolites and lipids can be effectively interrogated and advanced to validation studies.
The goal of nontargeted metabolomic or lipidomic studies is to discover the most biologically important signals in a patient population, whether they are known molecules or yet to be chemically identified. With a comprehensive Metabolite Standards Library comprised of more than 10,000 chemical reference standards, all of which have been extensively analyzed using Sapient’s rLC-MS instrumentation, we are able to maximize the number of Tier 1 identifications for a study and elucidate more unknown molecules to advance novel discovery.
Download the fact sheet to see everything that comprises our metabolite identification analysis, including multi-parameter data matching for the highest confidence Tier 1 identifications of >1,000 metabolites and lipids routinely found in human plasma, and a database of >6 million MS2 spectra for over 600,000 compounds that is used for putative structural identification of unidentified molecules.