Share Email Print
cover

Proceedings Paper

Detection of explosive mixtures on surfaces using grazing angle probe - FTIR: model for classification
Author(s): Oliva M. Primera-Pedrozo; Yadira Soto-Feliciano; Leonardo Pacheco-Londoño; Luis F. De La Torre-Quintana; Samuel P. Hernandez-Rivera
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 10 May 2006
PDF: 8 pages
Proc. SPIE 6201, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense V, 62012A (10 May 2006); doi: 10.1117/12.665944
Show Author Affiliations
Oliva M. Primera-Pedrozo, Univ. of Puerto Rico-Mayagüez (United States)
Yadira Soto-Feliciano, Univ. of Puerto Rico-Mayagüez (United States)
Leonardo Pacheco-Londoño, Univ. of Puerto Rico-Mayagüez (United States)
Luis F. De La Torre-Quintana, Univ. of Puerto Rico-Mayagüez (United States)
Samuel P. Hernandez-Rivera, Univ. of Puerto Rico-Mayagüez (United States)


Published in SPIE Proceedings Vol. 6201:
Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense V
Edward M. Carapezza, Editor(s)

© SPIE. Terms of Use
Back to Top