
Justin Miller-Schulze and Smith Purdum explain how machine learning and chemometrics can improve fire debris classification in forensic science applications.
This application focuses on developing a rapid SPE and LC-MS/MS method for the quantitative analysis of uracil and its two homologues from human serum






