Early Type 2 Diabetes prediction can be facilitated by the implementation of a metabolomics method for the
identification of T2DM biomarkers. A complete automated derivatization workflow is explored.
Urine is a favored biological fluid for medical testing since it is easy to obtain in large quantities and provides a window into an individual's exposure, diet, and general health. Comprehensive GCxGC-TOFMS data can be used to visually differentiate smoker and non-smoker urine standard reference materials.
