@misc{10498/36609,
year = {2017},
url = {http://hdl.handle.net/10498/36609},
abstract = {Characterization of petroleum-derived products is an area of continuing importance in environmental science, mainly related to fuel spills. In this study, a non-separative analytical method based on E-Nose (Electronic Nose) is presented as a rapid alternative for the characterization of several different petroleum-derived products including gasoline, diesel, aromatic solvents, and ethanol samples, which were poured onto different surfaces (wood, cork, and cotton). The working conditions about the headspace generation were 145 _C and 10 min. Mass spectroscopic data (45–200 m/z) combined with chemometric tools such as hierarchical cluster analysis (HCA), later principal component analysis (PCA), and finally linear discriminant analysis (LDA) allowed for a full discrimination of the samples. A characteristic fingerprint for each product can be used for discrimination or identification. The E-Nose can be considered as a green technique, and it is rapid and easy to use in routine analysis, thus providing a good alternative to currently used methods.},
publisher = {MDPI},
keywords = {petroleum-derived products},
keywords = {characterization},
keywords = {fingerprints},
keywords = {E-Nose},
keywords = {gasoline},
keywords = {diesel},
title = {Characterization and differentiation of petroleum-derived products by E-nose fingerprints},
doi = {10.3390/S17112544},
author = {Ferreiro González, Marta and Fernández Barbero, Gerardo and Palma Lovillo, Miguel and Ayuso Vilacides, Jesús and Álvarez Saura, José Ángel and García Barroso, Carmelo},
}