
Justin Miller-Schulze and Smith Purdum explain how machine learning and chemometrics can improve fire debris classification in forensic science applications.
This AppNote highlights how salting-out assisted liquid-liquid extraction (SALLE) can be fully automated for the determination of bisphenol A (BPA) in beverages. The study demonstrates how automation removes sample-prep bottlenecks while ensuring consistent, robust results across a wide range of beverage matrices.






