To evaluate the performance of the CNL model for real samples, the detection rates were obtained for the same ROC parameters as the database data, using the measurements spiked with standard mixtures. Instead of evaluating both the FPr and FDr, only the FDr is used when dealing with real data, since the number of TN detected fragments is not easily defined and highly dependent on the sample (e.g., matrix) and noise in the spectrum. Using the optimized parameters from the database performance assessment (i.e., 0.005 Da mass tolerance and score CN L threshold of -0.95), a TPr of 97.7% and an FDr of 45.8% were found.