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Ignitable liquid identification using gas chromatography/mass spectrometry data by projected difference resolution mapping and fuzzy rule-building expert system classification.
Forensic Sci Int. 2012 Jul 10; 220(1-3):210-8.FS

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+Show Affiliations

Center for Intelligent Chemical Instrumentation, Clippinger Laboratories, Department of Chemistry and Biochemistry, OHIO University, Athens, OH 45701-2979, USA.No affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Research Support, U.S. Gov't, Non-P.H.S.

Language

eng

PubMed ID

22472078

Citation

Lu, Weiying, et al. "Ignitable Liquid Identification Using Gas Chromatography/mass Spectrometry Data By Projected Difference Resolution Mapping and Fuzzy Rule-building Expert System Classification." Forensic Science International, vol. 220, no. 1-3, 2012, pp. 210-8.
Lu W, Rankin JG, Bondra A, et al. Ignitable liquid identification using gas chromatography/mass spectrometry data by projected difference resolution mapping and fuzzy rule-building expert system classification. Forensic Sci Int. 2012;220(1-3):210-8.
Lu, W., Rankin, J. G., Bondra, A., Trader, C., Heeren, A., & Harrington, P. d. e. . B. (2012). Ignitable liquid identification using gas chromatography/mass spectrometry data by projected difference resolution mapping and fuzzy rule-building expert system classification. Forensic Science International, 220(1-3), 210-8. https://doi.org/10.1016/j.forsciint.2012.03.003
Lu W, et al. Ignitable Liquid Identification Using Gas Chromatography/mass Spectrometry Data By Projected Difference Resolution Mapping and Fuzzy Rule-building Expert System Classification. Forensic Sci Int. 2012 Jul 10;220(1-3):210-8. PubMed PMID: 22472078.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Ignitable liquid identification using gas chromatography/mass spectrometry data by projected difference resolution mapping and fuzzy rule-building expert system classification. AU - Lu,Weiying, AU - Rankin,J Graham, AU - Bondra,Alexandria, AU - Trader,Carolyn, AU - Heeren,Amanda, AU - Harrington,Peter de B, Y1 - 2012/04/01/ PY - 2011/06/23/received PY - 2012/02/29/revised PY - 2012/03/02/accepted PY - 2012/4/5/entrez PY - 2012/4/5/pubmed PY - 2012/4/5/medline SP - 210 EP - 8 JF - Forensic science international JO - Forensic Sci Int VL - 220 IS - 1-3 N2 - 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. SN - 1872-6283 UR - https://www.unboundmedicine.com/medline/citation/22472078/Ignitable_liquid_identification_using_gas_chromatography/mass_spectrometry_data_by_projected_difference_resolution_mapping_and_fuzzy_rule_building_expert_system_classification_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S0379-0738(12)00105-3 DB - PRIME DP - Unbound Medicine ER -
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