Fuzzy Rule-Building Expert System Classification of Fuel Using Solid-Phase Microextraction Two-Way Gas Chromatography Differential Mobility Spectrometric Data

Fuzzy Rule-Building Expert System Classification of Fuel Using Solid-Phase Microextraction Two-Way Gas Chromatography Differential Mobility Spectrometric Data

Gas chromatography/differential mobility spectrometry (GC/DMS) has been investigated for characterization of fuels. Neat fuel samples were sampled using solid-phase microextraction (SPME) and analyzed using a micromachined differential mobility spectrometer with a photoionization source interfaced t...

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Veröffentlicht in:Analytical chemistry (Washington) 2007-02, Vol.79 (4), p.1485-1491
Hauptverfasser: Rearden, Preshious, Harrington, Peter B, Karnes, John J, Bunker, Christopher E
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Sprache:eng
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Analytical chemistry
Chemistry
Chromatographic methods and physical methods associated with chromatography
Exact sciences and technology
Fuels
Gas chromatographic methods
Ion chromatography
Mass spectrometry
Sampling
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creator Rearden, Preshious
Harrington, Peter B
Karnes, John J
Bunker, Christopher E
description Gas chromatography/differential mobility spectrometry (GC/DMS) has been investigated for characterization of fuels. Neat fuel samples were sampled using solid-phase microextraction (SPME) and analyzed using a micromachined differential mobility spectrometer with a photoionization source interfaced to a gas chromatograph. The coupling of DMS to GC offers an additional order of information in that two-way data are obtained with respect to compensation voltages and retention time. A fuzzy rule-building expert system (FuRES) was used as a multivariate classifier for the two-way gas chromatograms of fuels, including rocket (RP-1, RG-1), diesel, and jet (JP-4, JP-5, JP-7, JP-TS, JetA-3639, Jet A-3688, Jet A-3690, Jet A-3694, and Jet A-generic) fuels. The GC-DMS with SPME was able to produce characteristic profiles of the fuels and a classification rate of 95 ± 0.3% obtained with a FuRES model. The classification system also had perfect classification for each fuel sample when applied one month later.
doi_str_mv 10.1021/ac060527f
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source American Chemical Society Journals
subjects Analytical chemistry
Chemistry
Chromatographic methods and physical methods associated with chromatography
Exact sciences and technology
Fuels
Gas chromatographic methods
Ion chromatography
Mass spectrometry
Sampling
title Fuzzy Rule-Building Expert System Classification of Fuel Using Solid-Phase Microextraction Two-Way Gas Chromatography Differential Mobility Spectrometric Data
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