Detection of Nitroaromatic and Peroxide Explosives in Air Using Infrared Spectroscopy: QCL and FTIR
Author(s) -
Leonardo C. PachecoLondoño,
John R. CastroSuarez,
Samuel P. HernándezRivera
Publication year - 2013
Publication title -
advances in optical technologies
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.124
H-Index - 25
eISSN - 1687-6407
pISSN - 1687-6393
DOI - 10.1155/2013/532670
Subject(s) - chemometrics , infrared spectroscopy , spectroscopy , fourier transform infrared spectroscopy , explosive material , analytical chemistry (journal) , peroxide , infrared , quantum cascade laser , materials science , trace gas , partial least squares regression , chemistry , environmental chemistry , chromatography , organic chemistry , optics , computer science , cascade , physics , quantum mechanics , machine learning
A methodology for processing spectroscopic information using a chemometrics-based analysis was designed and implemented in the detection of highly energetic materials (HEMs) in the gas phase at trace levels. The presence of the nitroaromatic HEM 2,4-dinitrotoluene (2,4-DNT) and the cyclic organic peroxide triacetone triperoxide (TATP) in air was detected by chemometrics-enhanced vibrational spectroscopy. Several infrared experimental setups were tested using traditional heated sources (globar), modulated and nonmodulated FT-IR, and quantum cascade laser- (QCL-) based dispersive IR spectroscopy. The data obtained from the gas phase absorption experiments in the midinfrared (MIR) region were used for building the chemometrics models. Partial least-squares discriminant analysis (PLS-DA) was used to generate pattern recognition schemes for trace amounts of explosives in air. The QCL-based methodology exhibited a better capacity of discrimination for the detected presence of HEM in air compared to other methodologies
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