
Justin Miller-Schulze and Smith Purdum explain how machine learning and chemometrics can improve fire debris classification in forensic science applications.
Application note outlining the methodology for assessing significant levels of PFAS emissions from food contact materials under typical usage conditions. PFAS were detected across a range of temperatures for the items tested, with concentrations varying from 1 pg/g to over 6000 pg/g.






