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Published on: September 2, 2020
Ignitable liquid identification using gas chromatography/mass spectrometry data by projected difference resolution
Weiying Lu1, J Graham Rankin, Alexandria Bondra
1Center for Intelligent Chemical Instrumentation, Clippinger Laboratories, Department of Chemistry and Biochemistry, OHIO University, Athens, OH 45701-2979, USA.
Gas chromatography/mass spectrometry (GC/MS) analysis of gasoline and kerosene identified ignitable liquids (ILs). Fuzzy rule-building expert systems (FuRESs) achieved over 90% accuracy in classifying these samples.
Area of Science:
- Forensic Science
- Analytical Chemistry
Background:
- Accurate identification of ignitable liquids (ILs) is crucial in forensic investigations.
- Traditional methods for IL analysis can be time-consuming and complex.
Purpose of the Study:
- To compare classification methods for ignitable liquids using GC/MS data.
- To evaluate the effectiveness of Projected Difference Resolution (PDR) mapping and Fuzzy Rule-Building Expert Systems (FuRESs) for IL analysis.
Main Methods:
- Samples of gasoline and kerosene were analyzed using gas chromatography/mass spectrometry (GC/MS).
- Chemometric techniques, including PDR mapping and FuRESs, were applied to the GC/MS data.
- Classification performance was assessed based on two-way profiles and target component ratios.
Main Results:
- FuRES models demonstrated a correct classification rate exceeding 90% for discriminating between IL samples.
- Projected Difference Resolution (PDR) mapping provided quantitative measurements of differences between IL samples.
- PDR mapping results were consistent with the classification outcomes from FuRES.
Conclusions:
- FuRESs offer a highly accurate method for the classification of ignitable liquids.
- PDR mapping is a valuable new technique for the quantitative characterization of complex GC/MS datasets.
- The combined application of GC/MS, FuRESs, and PDR mapping enhances the forensic analysis of ignitable liquids.
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