
Justin Miller-Schulze and Smith Purdum explain how machine learning and chemometrics can improve fire debris classification in forensic science applications.
A sensitive and robust determination of PCDD/Fs provides the ultimate confidence in the accuracy of results at the lowest detection levels.






