Ideally suited for portable hand-held spectroscopy devices, the system provides efficient, real-time analysis and identification of complex chemical mixtures using new Raman spectral decomposition techniques.
This approach, which is technology-agnostic, can handle large spectral databases to accurately pinpoint mixtures of chemical substances. Samples composed of a mixture of different chemicals provide a much greater detection challenge than pure materials, which are typically used in laboratory studies but not representative of real-world samples.
The University of Edinburgh’s commercialisation arm, Edinburgh Research & Innovation (ERI), is now seeking to license this technology to industry partners who wish to deploy it as part of a commercial hardware solution.
Mike Davies, Professor of Signal and Image Processing at the University of Edinburgh’s School of Engineering, said: “Inputting a set of reference spectra and an unknown mixture yields the identity of the mixture elements and also their contribution percentages. It also has the capability of identifying the presence of a spectral component outside the reference library. As such, it is a particularly powerful tool.”
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