Turn Your Metabolite Features into Biological Answers
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