
Justin Miller-Schulze and Smith Purdum explain how machine learning and chemometrics can improve fire debris classification in forensic science applications.
High-resolution separation of maltodextrin with outstanding linearity, repeatability, and sensitivity, enabling the precise quantification of its components.






