Standoff Raman spectrometry for the non-invasive detection of explosives precursors in highly fluorescing packaging.

Emad L Izake, Shankaran Sundarajoo, William Olds, Biju Cletus, Esa Jaatinen, Peter M Fredericks
Author Information
  1. Emad L Izake: Chemistry Discipline, Faculty of Science and Technology, Queensland University of Technology, 2 George St., Brisbane, QLD 4001, Australia. ekiriakous@hotmail.com

Abstract

Noninvasive standoff deep Raman spectroscopy has been utilised for the detection of explosives precursors in highly fluorescing packaging from 15m. To our knowledge this is the first time standoff deep Raman spectroscopy of concealed substances in highly fluorescing coloured packaging is demonstrated. Time-resolved Raman spectroscopy, spatially offset Raman spectroscopy and time-resolved spatially offset Raman spectroscopy have been compared to identify their selectivity towards the deep layers of a sample. The selectivity of time-resolved Raman spectroscopy towards the concealed chemical substances was found to be comparable to that of spatially offset Raman spectroscopy. However, time-resolved Raman spectroscopy did not require precise translation of the laser excitation beam onto the surface of the interrogated packaging as in the case of spatially offset Raman spectroscopy. Our results confirm that standoff time-resolved spatially offset Raman spectroscopy has significantly higher selectivity towards the deep layers of a sample when compared to the other deep Raman spectroscopy modes. The developed spectrometer was capable of detecting the concealed substances within 5s of data acquisition. By using time-resolved spatially Raman spectroscopy, a Raman spectrum that is representative of the content alone was acquired without the use of sophisticated algorithms to eliminate the spectral contributions of the packaging material within the acquired spectrum as in the case of time-resolved Raman spectroscopy and spatially offset Raman spectroscopy.

MeSH Term

Algorithms
Drug Packaging
Explosive Agents
Fluorescence
Humans
Signal-To-Noise Ratio
Spectrum Analysis, Raman

Chemicals

Explosive Agents

Word Cloud

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