
Justin Miller-Schulze and Smith Purdum explain how machine learning and chemometrics can improve fire debris classification in forensic science applications.
This study describes the characterization of metal-containing nanoparticles in tattoo ink using AF4 coupled with multi-angle light scattering and ICP-MS.






