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Journal ArticleDOI

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

TLDR
In this article, 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.
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This article is published in Microchemical Journal.The article was published on 2017-05-01. It has received 16 citations till now.

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Citations
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Journal ArticleDOI

Novel method based on ion mobility spectrometry sum spectrum for the characterization of ignitable liquids in fire debris

TL;DR: The proposed method would be based on ion mobility spectrometry sum spectrum (IMSSS) from headspace analysis, in combination with pattern recognition tools (Linear Discriminant Analysis, LDA) and 100% of fire debris samples were correctly classified for presence/absence and type of IL.
Journal ArticleDOI

Effects of Fire Suppression Agents and Weathering in the Analysis of Fire Debris by HS-MS eNose

TL;DR: Although the suppression systems affect the mass spectra, the HS-MS eNose in combination with suitable pattern recognition chemometric tools, such as linear discriminant analysis, is able to identify the presence of gasoline in any of the studied situations.
Journal ArticleDOI

An Electronic Nose Based Method for the Discrimination of Weathered Petroleum-Derived Products.

TL;DR: The results show that the eNose combined with chemometrics system is capable of detecting and discriminating the presence of petroleum-derived products in any of the situations studied.
Journal ArticleDOI

Evaluation of an untargeted chemometric approach for the source inference of ignitable liquids in forensic science.

TL;DR: This study aims to link neat gasoline samples sharing a common source through the use of an untargeted chemometric approach applied to data acquired by automated thermodesorption (ATD)-GC-MS following passive headspace extraction onto Tenax TA tubes.
Journal ArticleDOI

Interpol review of fire investigation 2016-2019.

TL;DR: This review paper covers the forensic-relevant literature in fire analysis and investigation sciences from 2016 to 2019 as a part of the 19th Interpol International Forensic Science Managers Symposium.
References
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Journal ArticleDOI

Strategies for qualitative and quantitative analyses with mass spectrometry-based electronic noses

TL;DR: The present article reviews the main applications of electronic noses based on mass spectrometry in the environmental field and compares and contrast four strategies to correct signal drift: internal normalization; internal standardization; gas standard addition; and, calibration transfer.
Journal ArticleDOI

Analytical tools for the analysis of fire debris. A review: 2008-2015.

TL;DR: This review critically outlines the most up-to-date and suitable tools for the analysis and interpretation of fire debris evidence and provides relevant knowledge on the distortion effects of the ignitable liquid chemical fingerprints, which have to be considered during interpretation of results.
Journal ArticleDOI

Covariance Mapping in the Analysis of Ignitable Liquids by Gas Chromatography/Mass Spectrometry

TL;DR: The covariance matrix computed from the retention time-ion abundance data matrix from gas chromatography/mass spectrometry analysis of ignitable liquids is shown to be a useful tool for automated identification of ignitability liquids in a database.
Journal ArticleDOI

Fast analytical methodology based on mass spectrometry for the determination of volatile biomarkers in saliva.

TL;DR: The method was applied to the determination of biomarkers in 28 saliva samples: 24 of them were from healthy volunteers, and the others were from patients with different types of illness (including different kinds of cancer).
Journal ArticleDOI

The influence of the type of accelerant, type of burned material, time of burning and availability of air on the possibility of detection of accelerants traces.

TL;DR: Investigation of how different factors influence the possibility of identification of accelerant traces in conditions that are as similar as possible to those of real fires shows that the type of burned material has the greatest influence.
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