
Justin Miller-Schulze and Smith Purdum explain how machine learning and chemometrics can improve fire debris classification in forensic science applications.
Size exclusion chromatography (SEC) is widely used for detecting aggregates, fragments, and other impurities in a biotherapeutic sample. When coupled with multi-angle light scattering (MALS), SEC enables researchers to quantify the true solution molar mass of each species in a sample, in addition to the mass fraction of each spe-cies.






