Targeted metabolomics conceptually involves deciding on metabolites of interest before metabolite quantitation and confirmation of identity. This could be a combination of commonly observed metabolites from a variety of pathways, such as amino acids, organic acids and nucleotides, or could involve selecting a potential pathway of interest and quantifying all of the metabolites on that pathway.
With the wealth of information available on known metabolites, targeting pathways and individual metabolites that are biologically relevant to an area of study is a common approach, yet it is not without its challenges. Often SRM-based methods are insufficient to confirm the identity of a metabolite, while interferences from the biological matrix or interfering species can be detrimental to their quantification.
SCIEX solutions for targeted metabolomics extend much further than a simple triple quad, offering a wealth of MS and front-end tools to allow you to identify and quantify with high sensitivity, precision and accuracy, allowing you to design your targeted experiments intuitively and capture data on the most important changes in your sample.
