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Analysis of Explosives by GC-UV
GC UV Centre, Kobergsgränd 2, SE-58731 Linkoping, Sweden.
GC UV Centre, Kobergsgränd 2, SE-58731 Linkoping, Sweden.
Linköping University, Department of Physics, Chemistry and Biology, Chemistry. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Physics, Chemistry and Biology, Chemistry. Linköping University, Faculty of Science & Engineering.
2017 (English)In: Journal of Forensic Sciences, ISSN 0022-1198, E-ISSN 1556-4029, Vol. 62, no 4, p. 1022-1027Article in journal (Refereed) Published
Abstract [en]

A mixture of explosives was analyzed by gas chromatography (GC) linked to ultraviolet (UV) spectrophotometry that enabled detection in the range of 178-330 nm. The gas-phase UV spectra of 2,4,6-trinitrotoluene (TNT), 2,4-dinitrotoluene (DNT), ethylene glycol dinitrate (EGDN), glycerine trinitrate (NG, nitroglycerine), triacetone triperoxide (TATP), and pentaerythritol tetranitrate (PETN) were successfully recorded. The most interesting aspect of the current application is that it enabled simultaneous detection of both the target analyte and its decomposition products. At suitable elevated temperatures of the transfer line between the GC instrument and the UV detector, a partial decomposition was accomplished. Detection was made in real time and resulted in overlaid spectra of the mother compound and its decomposition product. Hence, the presented approach added another level to the qualitative identification of the explosives in comparison with traditional methods that relies only on the detection of the target analyte. As expected, the decomposition product of EGDN, NG, and PETN was NO, while TATP degraded to acetone. DNT and TNT did not exhibit any decomposition at the temperatures used.

Place, publisher, year, edition, pages
WILEY , 2017. Vol. 62, no 4, p. 1022-1027
Keywords [en]
forensic science; ultraviolet detection; gas chromatography-ultraviolet spectrophotometry; ultraviolet spectra; explosive analysis; triacetone triperoxide; nitrate esters
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:liu:diva-139621DOI: 10.1111/1556-4029.13364ISI: 000404635600029PubMedID: 28070907OAI: oai:DiVA.org:liu-139621DiVA, id: diva2:1133731
Available from: 2017-08-16 Created: 2017-08-16 Last updated: 2018-01-13

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