The Taguchi method uses response tables to calculate the optimum level of each factor (Supplemental Response Table ). A response table consists of a response measurement, calculated S/N, rank, and percent coefficient of variation (%CV). Three types of S/N ratio can be applied depending on the nature of a response variable: nominal-the-better (NTB), smaller-the-better (STB), or larger-the-better (LTB). While the whole metabolome cannot be measured using a single analytical method, we can optimize our pre-analytical methods to increase the number of detected metabolites, a common approach in untargeted metabolomics. In this study, the response variables chosen were the number of deconvoluted (i.e., de-adducted, de-isotope, etc.) features and the total ion count (TIC). A feature is defined as a unique combination of mass-to-charge (m/z) and retention time (RT) after spectral deconvolution.