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 μg/cm² in a blind test experiment. The sensitivity and selectivity is discussed in terms of receiver operating characteristics (ROC) curves.

Infrared photothermal imaging spectroscopy for detection of trace explosives on surfaces

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Appl. Opt. 54(31) F129-F138 (2015)

Detection of explosives based on surface-enhanced Raman spectroscopy

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Stand-off detection of explosives particles by multispectral imaging Raman spectroscopy

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Detection of vapors of explosives and explosive-related compounds by ultraviolet cavity ringdown spectroscopy

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Appl. Opt. 46(4) 620-627 (2007)

Standoff discrimination and trace detection of explosive molecules using femtosecond filament induced breakdown spectroscopy combined with silver nanoparticles

Abdul Kalam Shaik and Venugopal Rao Soma
OSA Continuum 2(3) 554-562 (2019)