
Justin Miller-Schulze and Smith Purdum explain how machine learning and chemometrics can improve fire debris classification in forensic science applications.
Yoghurt aroma compounds and comprehensive profiles are determined using solvent swollen PDMS-Twisters for solvent assisted SBSE followed by Liquid Desorption-GC/MS, sensory assessment, and multi-variate analysis-based classification.






