Justin Miller-Schulze and Smith Purdum explain how machine learning and chemometrics can improve fire debris classification in forensic science applications.
|Articles|February 11, 2022
GC-MS/MS analysis of Tetra through Octa Dioxins and Furans
Author(s)Phenomenex, Inc.
We demonstrate a highly efficient method to monitor Persistent Organic Pollutants (POPs) and separate them from matrix. Common method of analysis utilizes a GC-HRMS or a GC-MS/MS to accurately quantitate and separate toxic dioxins and furans.
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