CORDIS Project
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This project aims to develop an Advanced Intelligent Raman system (AIRS) for the rapid, non-invasive detection of hazardous materials, including explosives. By enhancing Raman spectroscopy with advanced detection techniques and machine learning, AIRS will improve signal clarity and identification accuracy in field cond…
Chemical analysis of unknown samples is a vital measurement in a variety of sectors, from protein characterisation, identifying illicit and counterfeit drugs (est. €3bn cost to the industry), pharmaceutical quality control through to security applications (e.g. detection of explosives).
There is a major security requirement is for a new reliable detection method of explosives, especially at soft targets.
The ideal solution is a robust in-situ method for rapid non-invasive detection of hazardous…
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