
Justin Miller-Schulze and Smith Purdum explain how machine learning and chemometrics can improve fire debris classification in forensic science applications.
This application describes a method to rapidly analyze 26 pesticide metabolites of different polarities in drinking water, with quantitation limits in the sub-ng/L range.






