This article reports on a project in which the gasoline and kerosene collected from different locations in the United States were identified by gas chromatography/mass spectrometry (GC/MS), followed by chemometric analysis.
Classifications based on two-way profiles and target component ratios were compared. The projected difference resolution (PDR) mapping was applied to measure the differences among the ignitable liquid (IL) samples by their GC/MS profiles quantitatively. Fuzzy rule-building expert systems (FuRESs) were applied to classify individual ILs. The FuRES models yielded correct classification rates greater than 90 percent for discriminating between samples. PDR mapping, a new method for characterizing complex data sets, was consistent with the FuRES classification result. (publisher abstract modified)
Downloads
Similar Publications
- A Systematic Study of Liquid Chromatography in Search of the Best Separation of Cannabinoids for Potency Testing of Hemp-Based Products Using Diode Array Detector and Electrospray Ionization Mass Spectrometry
- Prior bleaching of virgin or colored hair has minimal impact on SERS-based hair dye identification
- The Degradation of Beta-Actin in Aging Blood and Semen Stains