Compound-specific isotope analysis of diesel fuels in a forensic investigation
Compound-specific isotope analysis (CSIA) offers great potential as a tool to provide chemical evidence in a forensic investigation. Many attempts to trace environmental oil spills were successful where isotopic values were particularly distinct. However, difficulties arise when a large data set is...
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| Language: | English |
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Frontiers Media
2015
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| Online Access: | http://eprints.usm.my/38477/ http://eprints.usm.my/38477/1/Compound-specific_isotope_analysis_of_diesel_fuels_in_a_forensic_investigation.pdf |
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| author | Muhammad, Syahidah A. Russell D., Frew Alan R., Hayman |
| author_facet | Muhammad, Syahidah A. Russell D., Frew Alan R., Hayman |
| author_sort | Muhammad, Syahidah A. |
| building | USM Institutional Repository |
| collection | Online Access |
| description | Compound-specific isotope analysis (CSIA) offers great potential as a tool to provide chemical evidence in a forensic investigation. Many attempts to trace environmental oil spills were successful where isotopic values were particularly distinct. However, difficulties arise when a large data set is analyzed and the isotopic differences between samples are subtle. In the present study, discrimination of diesel oils involved in a diesel theft case was carried out to infer the relatedness of the samples to potential source samples. This discriminatory analysis used a suite of hydrocarbon diagnostic indices, alkanes, to generate carbon and hydrogen isotopic data of the compositions of the compounds which were then processed using multivariate statistical analyses to infer the relatedness of the data set. The results from this analysis were put into context by comparing the data with the δ13C and δ2H of alkanes in commercial diesel samples obtained from various locations in the South Island of New Zealand. Based on the isotopic character of the alkanes, it is suggested that diesel fuels involved in the diesel theft case were distinguishable. This manuscript shows that CSIA when used in tandem with multivariate statistical analysis provide a defensible means to differentiate and source-apportion qualitatively similar oils at the molecular level. This approach was able to overcome confounding challenges posed by the near single-point source of origin, i.e., the very subtle differences in isotopic values between the samples. |
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| format | Article |
| id | usm-38477 |
| institution | Universiti Sains Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T17:32:01Z |
| publishDate | 2015 |
| publisher | Frontiers Media |
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| spelling | usm-384772018-01-23T04:25:34Z http://eprints.usm.my/38477/ Compound-specific isotope analysis of diesel fuels in a forensic investigation Muhammad, Syahidah A. Russell D., Frew Alan R., Hayman T1-995 Technology(General) Compound-specific isotope analysis (CSIA) offers great potential as a tool to provide chemical evidence in a forensic investigation. Many attempts to trace environmental oil spills were successful where isotopic values were particularly distinct. However, difficulties arise when a large data set is analyzed and the isotopic differences between samples are subtle. In the present study, discrimination of diesel oils involved in a diesel theft case was carried out to infer the relatedness of the samples to potential source samples. This discriminatory analysis used a suite of hydrocarbon diagnostic indices, alkanes, to generate carbon and hydrogen isotopic data of the compositions of the compounds which were then processed using multivariate statistical analyses to infer the relatedness of the data set. The results from this analysis were put into context by comparing the data with the δ13C and δ2H of alkanes in commercial diesel samples obtained from various locations in the South Island of New Zealand. Based on the isotopic character of the alkanes, it is suggested that diesel fuels involved in the diesel theft case were distinguishable. This manuscript shows that CSIA when used in tandem with multivariate statistical analysis provide a defensible means to differentiate and source-apportion qualitatively similar oils at the molecular level. This approach was able to overcome confounding challenges posed by the near single-point source of origin, i.e., the very subtle differences in isotopic values between the samples. Frontiers Media 2015-02 Article PeerReviewed application/pdf en http://eprints.usm.my/38477/1/Compound-specific_isotope_analysis_of_diesel_fuels_in_a_forensic_investigation.pdf Muhammad, Syahidah A. and Russell D., Frew and Alan R., Hayman (2015) Compound-specific isotope analysis of diesel fuels in a forensic investigation. Frontiers in Chemistry, 3 (12). pp. 1-10. ISSN 2296-2646 https://doi.org/10.3389/fchem.2015.00012 |
| spellingShingle | T1-995 Technology(General) Muhammad, Syahidah A. Russell D., Frew Alan R., Hayman Compound-specific isotope analysis of diesel fuels in a forensic investigation |
| title | Compound-specific isotope analysis of diesel fuels in a forensic investigation |
| title_full | Compound-specific isotope analysis of diesel fuels in a forensic investigation |
| title_fullStr | Compound-specific isotope analysis of diesel fuels in a forensic investigation |
| title_full_unstemmed | Compound-specific isotope analysis of diesel fuels in a forensic investigation |
| title_short | Compound-specific isotope analysis of diesel fuels in a forensic investigation |
| title_sort | compound-specific isotope analysis of diesel fuels in a forensic investigation |
| topic | T1-995 Technology(General) |
| url | http://eprints.usm.my/38477/ http://eprints.usm.my/38477/ http://eprints.usm.my/38477/1/Compound-specific_isotope_analysis_of_diesel_fuels_in_a_forensic_investigation.pdf |