Database for chemical weapons detection: first results

C. Bellecci; P. Gaudio; M. Gelfusa; S. Martellucci; M. Richetta; P. Ventura; A. Antonucci; F. Pasquino; V. Ricci; A. Sassolini

doi:10.1117/12.800193

2 October 2008 Database for chemical weapons detection: first results

C. Bellecci, P. Gaudio, M. Gelfusa, S. Martellucci, M. Richetta, P. Ventura, A. Antonucci, F. Pasquino, V. Ricci, A. Sassolini

Author Affiliations +

Proceedings Volume 7116, Optically Based Biological and Chemical Detection for Defence IV; 71160Q (2008) https://doi.org/10.1117/12.800193
Event: SPIE Security + Defence, 2008, Cardiff, Wales, United Kingdom

Abstract

The quick increase of terrorism and asymmetric war is leading towards new needs involving defense and security. Nowadays we have to fight several kind of threats and use of chemical weapons against civil or military objectives is one of the most dangerous. For this reason it is necessary to find equipment, know-how and information that are useful in order to detect and identify dangerous molecules as quickly and far away as possible, so to minimize damage. Lidar/Dial are some of the most powerful optical technologies. Dial technology use two different wavelengths, in order to measure concentration profile of an investigated molecule. For this reason it is needed a "fingerprint" database which consists of an exhaustive collection of absorption coefficients data so to identify each molecule avoiding confusion with interfering ones. Nowadays there is not such a collection of data in scientific and technical literature. We used an FT-IR spectrometer and a CO₂ laser source for absorption spectroscopy measurements using cells filled with the investigated molecules. The CO₂ source is the transmitter of our DIAL facility. In this way we can make a proper "fingerprint" database necessary to identify dangerous molecules. The CO₂ laser has been chosen because it is eye safe and, mainly, because it covers a spectral band where there is good absorption for this kind of molecules. In this paper IR spectra of mustard will be presented and compared to other substances which may interfere producing a false alarm. Methodology, experimental setup and first results are described.

Citation Download Citation

C. Bellecci, P. Gaudio, M. Gelfusa, S. Martellucci, M. Richetta, P. Ventura, A. Antonucci, F. Pasquino, V. Ricci, and A. Sassolini "Database for chemical weapons detection: first results", Proc. SPIE 7116, Optically Based Biological and Chemical Detection for Defence IV, 71160Q (2 October 2008); https://doi.org/10.1117/12.800193

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