Journal article
Two-dimensional correlation coefficient mapping in gas chromatography: Jet fuel classification for environmental analysis
Journal of molecular structure, Vol.799(1), pp.247-252
2006
DOI: 10.1016/j.molstruc.2006.04.006
Abstract
We demonstrate the feasibility of using two-dimensional correlation coefficient mapping to classify gas chromatograms of environmental hazards. Correct identification and classification of the contaminants is the prerequisite for their appropriate treatment and containments. A data set consisting of 76 gas chromatograms of eight types of jet fuels, which are common sources of hydrocarbon contamination in ground water, is examined with two-dimensional statistical sample–sample correlation coefficients. Analysis demonstrates that jet fuel samples of the same type correlate strongly with each other but less significantly with other jet fuel classes. According to the magnitude of the correlation coefficients between each pair of the samples, jet fuel types of each sample in the data set can be assigned with an accuracy of 100% through a leave-one-out cross validation (LOOCV) procedure. Correlation coefficient mapping is thus a promising method to classify samples of environmental importance.
Details
- Title: Subtitle
- Two-dimensional correlation coefficient mapping in gas chromatography: Jet fuel classification for environmental analysis
- Creators
- Gufeng Wang - Department of Chemistry and The Optical Science and Technology Center, University of Iowa, Iowa City, IA 52242, USAJohn Karnes - Air Force Research Laboratory, Propulsion Directorate, Wright-Patterson Air Force Base, OH 45433, USAChristopher E Bunker - Air Force Research Laboratory, Propulsion Directorate, Wright-Patterson Air Force Base, OH 45433, USAM Lei Geng - Department of Chemistry and The Optical Science and Technology Center, University of Iowa, Iowa City, IA 52242, USA
- Resource Type
- Journal article
- Publication Details
- Journal of molecular structure, Vol.799(1), pp.247-252
- Publisher
- Elsevier B.V
- DOI
- 10.1016/j.molstruc.2006.04.006
- ISSN
- 0022-2860
- eISSN
- 1872-8014
- Language
- English
- Date published
- 2006
- Academic Unit
- Chemistry
- Record Identifier
- 9984217444702771
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