Identification and Discrimination of Brands of Fuels by Gas Chromatography and Neural Networks Algorithm in Forensic Research
The detection of adulteration of fuels and its use in criminal scenes like arson has a high interest in forensic investigations. In this work, a method based on gas chromatography (GC) and neural networks (NN) has been developed and applied to the identification and discrimination of brands of fuels...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2016-01-01
|
| Series: | Journal of Analytical Methods in Chemistry |
| Online Access: | http://dx.doi.org/10.1155/2016/6758281 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832560985909493760 |
|---|---|
| author | L. Ugena S. Moncayo S. Manzoor D. Rosales J. O. Cáceres |
| author_facet | L. Ugena S. Moncayo S. Manzoor D. Rosales J. O. Cáceres |
| author_sort | L. Ugena |
| collection | DOAJ |
| description | The detection of adulteration of fuels and its use in criminal scenes like arson has a high interest in forensic investigations. In this work, a method based on gas chromatography (GC) and neural networks (NN) has been developed and applied to the identification and discrimination of brands of fuels such as gasoline and diesel without the necessity to determine the composition of the samples. The study included five main brands of fuels from Spain, collected from fifteen different local petrol stations. The methodology allowed the identification of the gasoline and diesel brands with a high accuracy close to 100%, without any false positives or false negatives. A success rate of three blind samples was obtained as 73.3%, 80%, and 100%, respectively. The results obtained demonstrate the potential of this methodology to help in resolving criminal situations. |
| format | Article |
| id | doaj-art-f9b29de644924e8594c99ea79e7d2766 |
| institution | Kabale University |
| issn | 2090-8865 2090-8873 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Analytical Methods in Chemistry |
| spelling | doaj-art-f9b29de644924e8594c99ea79e7d27662025-02-03T01:26:16ZengWileyJournal of Analytical Methods in Chemistry2090-88652090-88732016-01-01201610.1155/2016/67582816758281Identification and Discrimination of Brands of Fuels by Gas Chromatography and Neural Networks Algorithm in Forensic ResearchL. Ugena0S. Moncayo1S. Manzoor2D. Rosales3J. O. Cáceres4Department of Analytical Chemistry, Faculty of Chemical Sciences, Complutense University, 28040 Madrid, SpainDepartment of Analytical Chemistry, Faculty of Chemical Sciences, Complutense University, 28040 Madrid, SpainDepartment of Analytical Chemistry, Faculty of Chemical Sciences, Complutense University, 28040 Madrid, SpainDepartment of Analytical Chemistry, Faculty of Chemical Sciences, Complutense University, 28040 Madrid, SpainDepartment of Analytical Chemistry, Faculty of Chemical Sciences, Complutense University, 28040 Madrid, SpainThe detection of adulteration of fuels and its use in criminal scenes like arson has a high interest in forensic investigations. In this work, a method based on gas chromatography (GC) and neural networks (NN) has been developed and applied to the identification and discrimination of brands of fuels such as gasoline and diesel without the necessity to determine the composition of the samples. The study included five main brands of fuels from Spain, collected from fifteen different local petrol stations. The methodology allowed the identification of the gasoline and diesel brands with a high accuracy close to 100%, without any false positives or false negatives. A success rate of three blind samples was obtained as 73.3%, 80%, and 100%, respectively. The results obtained demonstrate the potential of this methodology to help in resolving criminal situations.http://dx.doi.org/10.1155/2016/6758281 |
| spellingShingle | L. Ugena S. Moncayo S. Manzoor D. Rosales J. O. Cáceres Identification and Discrimination of Brands of Fuels by Gas Chromatography and Neural Networks Algorithm in Forensic Research Journal of Analytical Methods in Chemistry |
| title | Identification and Discrimination of Brands of Fuels by Gas Chromatography and Neural Networks Algorithm in Forensic Research |
| title_full | Identification and Discrimination of Brands of Fuels by Gas Chromatography and Neural Networks Algorithm in Forensic Research |
| title_fullStr | Identification and Discrimination of Brands of Fuels by Gas Chromatography and Neural Networks Algorithm in Forensic Research |
| title_full_unstemmed | Identification and Discrimination of Brands of Fuels by Gas Chromatography and Neural Networks Algorithm in Forensic Research |
| title_short | Identification and Discrimination of Brands of Fuels by Gas Chromatography and Neural Networks Algorithm in Forensic Research |
| title_sort | identification and discrimination of brands of fuels by gas chromatography and neural networks algorithm in forensic research |
| url | http://dx.doi.org/10.1155/2016/6758281 |
| work_keys_str_mv | AT lugena identificationanddiscriminationofbrandsoffuelsbygaschromatographyandneuralnetworksalgorithminforensicresearch AT smoncayo identificationanddiscriminationofbrandsoffuelsbygaschromatographyandneuralnetworksalgorithminforensicresearch AT smanzoor identificationanddiscriminationofbrandsoffuelsbygaschromatographyandneuralnetworksalgorithminforensicresearch AT drosales identificationanddiscriminationofbrandsoffuelsbygaschromatographyandneuralnetworksalgorithminforensicresearch AT jocaceres identificationanddiscriminationofbrandsoffuelsbygaschromatographyandneuralnetworksalgorithminforensicresearch |