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Validation of an HS-MS method for direct determination and classification of ignitable liquids.

Authors :
Ferreiro-González, Marta
Barbero, Gerardo F.
Ayuso, Jesús
Álvarez, José A.
Palma, Miguel
Barroso, Carmelo G.
Source :
Microchemical Journal. May2017, Vol. 132, p358-364. 7p.
Publication Year :
2017

Abstract

Fire debris analysis is a key step in fire investigation. Most of the analytical methods used for the analysis of ignitable liquid residues in fire debris require pre-concentration of the ignitable liquid residues prior to the chromatographic analysis. The standard method, ASTM E1412, involves a passive headspace concentration with activated charcoal strips to isolate the ignitable liquid residues from fire debris followed by a desorption procedure from the carbon strip with carbon disulfide. In this study a non-separative analytical method based on HS-MS eNose (headspace mass spectrometry electronic nose) in combination with chemometric tools, including hierarchical cluster analysis and linear discriminant analysis, has been used to detect and classify ignitable liquid residues in fire debris into the classes defined by the ASTM E1618 standard method. This method allows a direct analysis of fire debris in 10 min and avoids the use of solvent and sorbents. The method was validated by analyzing a set of burned samples by GC–MS according to the standard methods ASTM E1412 and ASTM E1618. The results obtained on using the method proposed in this study were comparable to those obtained with the reference method. The correct classification rates for assigning ignitable liquid residues into ASTM E1618 classes were in the range of 90% for both methods. In comparison to the standard methods HS-MS does have specific advantages. Apart from the speed of the analysis and the fact that the sample does not require sample pre-concentration, this technique is also safer and ecofriendly since it does not use any solvents or produce any residues. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0026265X
Volume :
132
Database :
Academic Search Index
Journal :
Microchemical Journal
Publication Type :
Academic Journal
Accession number :
122156529
Full Text :
https://doi.org/10.1016/j.microc.2017.02.022