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Turn Your Metabolite Features into Biological Answers

Turn Your Metabolite Features into Biological Answers content piece image

Identifying features from real endogenous metabolites in a sample is a challenge in discovery metabolomics, as many of the features in a dataset arise from other sources. To prevent ambiguity within data processing and metabolite identification, a novel isotopic labeling approach has been developed.

Download this technical note to find out how isotope ratio outlier analysis (IROA®) and SWATH® Acquisition can be used to:

  • Yield comprehensive datasets
  • Identify unambiguous metabolites
  • Generate quantifiable isotopically labeled metabolites at a fraction of the price