Metabolomics is a field of scientific study that analyses the chemical processes of cell metabolism. It studies the complete set of metabolites contained in an organism as a part of the cellular processes. The metabolites themselves are the end products of cellular processes. They tell us the exact physiological state of an organism. Although it is a fast emerging field, there are still many associated bottlenecks to overcome. Issues of analytical variability, ion suppression and metabolite identification still plague metabolomics investigators.
IROA is a simple and direct technique using standards for metabolomics analysis. We use Internal Standards (IS) that have unique isotopic labels, specifically 95% and 5% U-13C, to improve metabolomic identification and quantitative reproducibility and accuracy. The IS peak shapes are mathematically calculable using mass spectrometry. ClusterFinder software find, identify and quantitate these specific peaks. Algorithms also correct for ion suppression correction and normalize samples using the qualities inherent in the IS peaks.