@article{ref1,
title="Discrimination and classification of chemical warfare agent simulants using a Love-wave sensor array",
journal="Procedia engineering",
year="2011",
author="Matatagui, D. and Fernández, M.J. and Fontecha, J. and Santos, J.P. and Gràcia, I. and Cané, C. and Horrillo, M.C.",
volume="25",
number="",
pages="23-26",
abstract="An array made up of Love-wave sensors has been developed as a detection system for chemical warfare agents (CWAs). This array has been tested with well-known CWA simulants detecting very low concentrations, such as 40 ppb of DMMP, a simulant of sarin nerve gas, 250 ppb of DPGME, a simulant of nitrogen mustard and 15 ppm of DMA, a simulant of distilled mustard. Additionally, principal component analysis (PCA) as a data pre-processing and discrimination technique, and probabilistic neural networks (PNN) as a patterns classification technique, have been applied, obtaining good results concerning to discrimination and sensitivity.<p />",
language="en",
issn="1877-7058",
doi="10.1016/j.proeng.2011.12.006",
url="http://dx.doi.org/10.1016/j.proeng.2011.12.006"
}