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Characterization of petroleum-based products in water samples by HS-MS

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URI: http://hdl.handle.net/10498/29969

DOI: 10.1016/J.FUEL.2018.02.127

ISSN: 0016-2361

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2018_Fuel_ILs_water_prepint_.pdf (1.058Mb)
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Author/s
Ferreiro González, MartaAuthority UCA; Aliaño González, María JoséAuthority UCA; Fernández Barbero, GerardoAuthority UCA; Palma Lovillo, MiguelAuthority UCA; García Barroso, Carmelo
Date
2018
Department
Química Analítica
Source
Fuel 222 (2018) 506-512
Abstract
In forensic and environmental sciences, the identification of petroleum-based products is an important task to establish not only the origin of a given residue but also the hazard level or the appropriate cleanup procedure. A new strategy for the fingerprinting of petroleum-based products (PP) in water samples (seawater and freshwater) for rapid and easy fuel spill identification has been developed. For this purpose, an HS-MS has been used in combination with chemometric tools such as linear discriminant analysis (LDA). A set of 70 samples from seven types of PPs (aromatic products, alcohols, normal alkanes, gasoline, diesel, lubricants and naphthenic-paraffinic products), all of which were added to water (seawater and freshwater), were analyzed. 100% of the samples were discriminated according to the type of petroleum-based products used regardless the nature of the water. Furthermore, a fingerprint was obtained for each petroleum product by plotting the m/z values selected by the LDA and this allowed the rapid identification of the petroleum products. The repeatability and intermediate precision were evaluated for both types of water samples and good values were obtained (RSD < 10%). The applicability of the method for the detection of lower proportions of PP was assessed and the same fingerprints were obtained for each PP, even when the volume was decreased down to 0.05%. The results demonstrate the potential of HS-MS in this field.
Subjects
Petroleum-based products; Fuel spills; HS-MS; Fingerprinting; Characterization; Chemometrics; Water samples
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