Database for chemical weapons detection: first results

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 CO 2 laser source for absorption spectroscopy measurements using cells filled with the investigated molecules. The CO 2 source is the transmitter of our DIAL facility. In this way we can make a proper fingerprint database necessary to identify dangerous molecules. The CO 2 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.