
Justin Miller-Schulze and Smith Purdum explain how machine learning and chemometrics can improve fire debris classification in forensic science applications.
This poster shows that over 200 pesticides screened for using a DIA mode of acquisition from 0.625 ppb to 100 ppb, good Mass Accuracy, Low RSD’s, and Scored Coelution of Fragment Ions are demonstrated.






