
Justin Miller-Schulze and Smith Purdum explain how machine learning and chemometrics can improve fire debris classification in forensic science applications.
In this application, is the investigation into the relative selectivity of four different C18 stationary phases when applied to the reversed phase retention of six extremely polar artificial sweeteners.






