
Justin Miller-Schulze and Smith Purdum explain how machine learning and chemometrics can improve fire debris classification in forensic science applications.
This study investigates the performance of a high-throughput automated thermal desorption instrument coupled to GC–MS/MS for PFAS analysis.






