
Justin Miller-Schulze and Smith Purdum explain how machine learning and chemometrics can improve fire debris classification in forensic science applications.
This work highlights automated calibration curve generation using Andrew+ Pipetting Robot for accurate and reproducible LC–MS quantification of nitrosamine impurities.






