
Justin Miller-Schulze and Smith Purdum explain how machine learning and chemometrics can improve fire debris classification in forensic science applications.
This AppNote demonstrates how liquid-liquid extraction for fatty acid methyl esters (FAMEs) in infant formula can be reliably automated in accordance with AOAC® 2012.13. Using the GERSTEL MPS, critical timing, mixing, and reagent addition steps are precisely controlled, ensuring reproducible and robust results.






