
Justin Miller-Schulze and Smith Purdum explain how machine learning and chemometrics can improve fire debris classification in forensic science applications.
This application describes a single laboratory validation study with a rapid extraction of low concentrations of 30 PFAS in shrimp using the QuEChERS technique followed by LC-MS/MS analysis. Results show data met all criteria of AOAC SMPR 2023.003 with high precision, excellent recovery, and low Limit of Quantification (LOQ).






