
Justin Miller-Schulze and Smith Purdum explain how machine learning and chemometrics can improve fire debris classification in forensic science applications.
This study shows the advantages of automated immersive sorptive extraction for the GC–MS analysis of a wide range of aroma compounds in vodka.






