
Justin Miller-Schulze and Smith Purdum explain how machine learning and chemometrics can improve fire debris classification in forensic science applications.
This application note highlights the automated sample preparation and extraction of itaconic acid from human plasma with subsequent LC–MS/MS analysis and quantification.






