Literature DB >> 27769399

Progressing the analysis of Improvised Explosive Devices: Comparative study for trace detection of explosive residues in handprints by Raman spectroscopy and liquid chromatography.

Félix Zapata1, Mª Ángeles Fernández de la Ossa2, Elizabeth Gilchrist3, Leon Barron4, Carmen García-Ruiz5.   

Abstract

Concerning the dreadful global threat of terrorist attacks, the detection of explosive residues in biological traces and marks is a current need in both forensics and homeland security. This study examines the potential of Raman microscopy in comparison to liquid chromatography (ion chromatography (IC) and reversed-phase high performance liquid chromatography (RP-HPLC)) to detect, identify and quantify residues in human handmarks of explosives and energetic salts commonly used to manufacture Improvised Explosive Devices (IEDs) including dynamite, ammonium nitrate, single- and double-smokeless gunpowders and black powder. Dynamite, ammonium nitrate and black powder were detected through the identification of the energetic salts by Raman spectroscopy, their respective anions by IC, and organic components by RP-HPLC. Smokeless gunpowders were not detected, either by Raman spectroscopy or the two liquid chromatography techniques. Several aspects of handprint collection, sample treatment and a critical comparison of the identification of compounds by both techniques are discussed. Raman microscopy and liquid chromatography were shown to be complementary to one another offering more comprehensive information for trace explosives analysis.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Black powder; Dynamite; Handprints; Improvised Explosive Devices (IEDs); Liquid chromatography; Raman spectroscopy

Mesh:

Substances:

Year:  2016        PMID: 27769399     DOI: 10.1016/j.talanta.2016.05.057

Source DB:  PubMed          Journal:  Talanta        ISSN: 0039-9140            Impact factor:   6.057


  3 in total

1.  Selective Monitoring of Oxyanion Mixtures by a Flow System with Raman Detection.

Authors:  Félix Zapata; Fernando Ortega-Ojeda; Carmen García-Ruiz; Miguel González-Herráez
Journal:  Sensors (Basel)       Date:  2018-07-08       Impact factor: 3.576

Review 2.  Interpol review of detection and characterization of explosives and explosives residues 2016-2019.

Authors:  Douglas J Klapec; Greg Czarnopys; Julie Pannuto
Journal:  Forensic Sci Int       Date:  2020-06-17       Impact factor: 2.395

3.  Raman spectroscopy combined with machine learning algorithms to detect adulterated Suichang native honey.

Authors:  Shuhan Hu; Hongyi Li; Chen Chen; Cheng Chen; Deyi Zhao; Bingyu Dong; Xiaoyi Lv; Kai Zhang; Yi Xie
Journal:  Sci Rep       Date:  2022-03-02       Impact factor: 4.379

  3 in total

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