title: Automated detection of fingerprint traces of high explosives using ultraviolet Raman spectroscopy.
abstract: Ultraviolet (UV) resonance Raman spectroscopy is a promising technique for the detection of trace explosives. For real-world applications, it is necessary to develop data evaluation algorithms that automatically recognize the spectral features of explosives in a sample spectrum. We have developed a robust algorithm that can tolerate high levels of fluorescence background. We successfully demonstrated the detection of traces of ANFO and TNT explosives at surface coverage levels of 55 microg/cm(2) in a blind test experiment. The sensitivity and selectivity is discussed in terms of receiver operating characteristics (ROC) curves.
authors.affiliation: Fraunhofer Institute for Laser Technology, Aachen, Germany. peter.jander@ilt.fraunhofer.de
authors.forename: Peter
authors.initials: P
authors.lastname: Jander
authors.forename: Reinhard
authors.initials: R
authors.lastname: Noll