Detection of explosive mixtures on surfaces using grazing angle probe - FTIR: model for classification

Oliva M. Primera-Pedrozo; Yadira Soto-Feliciano; Leonardo Pacheco-Londoño; Luis F. De La Torre-Quintana; Samuel P. Hernandez-Rivera

doi:10.1117/12.665944

10 May 2006 Detection of explosive mixtures on surfaces using grazing angle probe - FTIR: model for classification

Oliva M. Primera-Pedrozo, Yadira Soto-Feliciano, Leonardo Pacheco-Londoño, Luis F. De La Torre-Quintana, Samuel P. Hernandez-Rivera

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Proceedings Volume 6201, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense V; 62012A (2006) https://doi.org/10.1117/12.665944
Event: Defense and Security Symposium, 2006, Orlando (Kissimmee), Florida, United States

Abstract

Fourier Transform Infrared Spectroscopy coupled to Grazing Angle Probe and operating in Reflection Absorption Infrared Spectroscopy mode has been demonstrated that can be used as a potential technique to develop new methodologies for detection of explosives on surfaces in Phase I of this research. The methodology is remote sensed, in situ and can detect nanograms of most target compounds. It is solvent free technique and requires no sample preparation. In this work detection of traces of neat explosives and lab made mixtures equivalent to the important explosive formulation Pentolyte has been addressed. The sample set consisted of TNT, PETN and Pentolyte mixture present in various loading concentrations. The spectral data collected was subjected to a number of statistical pre-treatment methods, including first derivative and normalization transformations to make the data more suitable for analysis. Principal Component Analysis combined with Linear Discriminant Analysis was used to classify and discriminate the target analytes.

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Oliva M. Primera-Pedrozo, Yadira Soto-Feliciano, Leonardo Pacheco-Londoño, Luis F. De La Torre-Quintana, and Samuel P. Hernandez-Rivera "Detection of explosive mixtures on surfaces using grazing angle probe - FTIR: model for classification", Proc. SPIE 6201, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense V, 62012A (10 May 2006); https://doi.org/10.1117/12.665944

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