title: Ignitable liquid identification using gas chromatography/mass spectrometry data by projected difference resolution mapping and fuzzy rule-building expert system classification.
abstract: 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% for discriminating between samples. PDR mapping, a new method for characterizing complex data sets was consistent with the FuRES classification result.
authors.affiliation: Center for Intelligent Chemical Instrumentation, Clippinger Laboratories, Department of Chemistry and Biochemistry, OHIO University, Athens, OH 45701-2979, USA.
authors.forename: Weiying
authors.initials: W
authors.lastname: Lu
authors.forename: J Graham
authors.initials: JG
authors.lastname: Rankin
authors.forename: Alexandria
authors.initials: A
authors.lastname: Bondra
authors.forename: Carolyn
authors.initials: C
authors.lastname: Trader
authors.forename: Amanda
authors.initials: A
authors.lastname: Heeren
authors.forename: Peter de B
authors.initials: Pde B
authors.lastname: Harrington