Detection of Highly Energetic Materials on Non-Reflective Substrates Using Quantum Cascade Laser Spectroscopy

2015 ◽  
Vol 69 (9) ◽  
pp. 1023-1035 ◽  
Author(s):  
John R. Castro-Suarez ◽  
Migdalia Hidalgo-Santiago ◽  
Samuel P. Hernández-Rivera
2013 ◽  
Author(s):  
John R. Castro-Suarez ◽  
Yadira S. Pollock ◽  
Samuel P. Hernandez-Rivera

2011 ◽  
Vol 115 (26) ◽  
pp. 7437-7447 ◽  
Author(s):  
Tao Liang ◽  
Steven D. Flynn ◽  
Alexander M. Morrison ◽  
Gary E. Douberly

2017 ◽  
Vol 146 (24) ◽  
pp. 244302 ◽  
Author(s):  
Yuan-Pin Chang ◽  
Anthony J. Merer ◽  
Hsun-Hui Chang ◽  
Li-Ji Jhang ◽  
Wen Chao ◽  
...  

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Leonardo C. Pacheco-Londoño ◽  
John R. Castro-Suarez ◽  
Samuel P. Hernández-Rivera

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.


Author(s):  
J. Jágerská ◽  
P. Jouy ◽  
B. Tuzson ◽  
H. Looser ◽  
A. Hugi ◽  
...  

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