
Justin Miller-Schulze and Smith Purdum explain how machine learning and chemometrics can improve fire debris classification in forensic science applications.
The use of sub-2 µm particles for SEC have expanded analytical method for the characterization of biologics. This is especially noteworthy with monoclonal antibodies (mAbs), wherein methods developed on ultra high-performance SEC (UHP-SEC) columns can separate not only aggregates, but also fragment. This application note explores the effect of column internal diameter for robust size exclusion chromatography methods.






