Automated detection of fingerprint traces of high explosives using ultraviolet Raman spectroscopy.
Appl Spectrosc
; 63(5): 559-63, 2009 May.
Article
em En
| MEDLINE
| ID: mdl-19470214
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.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Tipo de estudo:
Diagnostic_studies
Idioma:
En
Revista:
Appl Spectrosc
Ano de publicação:
2009
Tipo de documento:
Article
País de afiliação:
Alemanha