
Justin Miller-Schulze and Smith Purdum explain how machine learning and chemometrics can improve fire debris classification in forensic science applications.
The composition and purity of the carbonic esters and additives in electrolytes are critical factors for maintaining battery quality and performance. This application shows how the compact, yet rugged Brevis GC-2050 can easily conduct this routine analysis, achieving high separation performance and good repeatability, and demonstrating its effectiveness as an easy-to-use tool for this essential QC analysis.






