
Justin Miller-Schulze and Smith Purdum explain how machine learning and chemometrics can improve fire debris classification in forensic science applications.
This application introduces the automated analysis of fluorescent diastereomers of the proteinogenic D/L-amino acids using derivatizing reagents with chiral structures.






