
Justin Miller-Schulze and Smith Purdum explain how machine learning and chemometrics can improve fire debris classification in forensic science applications.
This application demonstrates the LC-MS/MS analysis of 46 PFAS and 25 surrogate compounds in solid matrices using a newly developed, cost-effective workflow.






