Vibrational Detection of Hazardous Materials Based on Multivariate Sensors
Samuel P. Hernández Rivera
Libis C. Valdez Cervantes
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Vibrational Detection of Hazardous Materials Based on Multivariate Sensors | ||
| Published in: | Engineering Innovations for Global Sustainability: Proceedings of the 14th Latin American and Caribbean Conference for Engineering and Technology | |
| Date of Conference: | July 20-22, 2016 | |
| Location of Conference: | San Jose, Costa Rica | |
| Authors: | John R. Castro Suárez Samuel P. Hernández Rivera Libis C. Valdez Cervantes | |
| Refereed Paper: | #331 | |
Abstract:A multivariate sensor based on the mid-infrared spectral signals have be used for detection of highly hazardous materials (HHMs) employing chemometrics tools. The HHMs used were the nitroaromatic compounds 2,4,6-trinitrotoluene, the aliphatic nitrate ester pentaerythritol tetranitrate and the aliphatic nitramine hexahydrotrinitrotriazine. HHMs were deposited on real-world substrates such as aluminum, cardboard, travel bags and wood. Multivariate analysis by Partial least squares (PLS) regression analysis combined with discriminant analysis (PLS-DA) was used to discriminate, classify, and identity similarities in the spectral datasets. The results show that the Multivariate vibrational detection investigated herein for multivariate sensor development is useful for the detection of HHMs on the types of real-world surface studied. | ||