Neural network technologies in Raman spectroscopy of water solutions of inorganic salts

Tatiana A. Dolenko; Sergey A. Burikov; Alexander V. Sugonjaev

doi:10.1117/12.604953

3 June 2005 Neural network technologies in Raman spectroscopy of water solutions of inorganic salts

Tatiana A. Dolenko, Sergey A. Burikov, Alexander V. Sugonjaev

Proceedings Volume 5826, Opto-Ireland 2005: Optical Sensing and Spectroscopy; (2005) https://doi.org/10.1117/12.604953
Event: OPTO-Ireland, 2005, Dublin, Ireland

Abstract

This paper is devoted to successful application of artificial neural networks (ANN) for more precise analysis of Raman spectra, and for the solution of the inverse problems of laser Raman spectroscopy. The characteristic peculiarities of the valence band shape of Raman scattering by water molecules in the solutions of KBr, KCl, KI, NaCl, NaI electrolytes have been revealed. These peculiarities allow to perform non-contact recognition of salts type and determination of salt concentration in water solutions by means of artificial neural networks. We suppose that the classification algorithms using the artificial neural networks, applied in this study, may be also useful for other problems in Raman spectroscopy and in fluorimetry, and in application of these methods in ecology.

Citation Download Citation

Tatiana A. Dolenko, Sergey A. Burikov, and Alexander V. Sugonjaev "Neural network technologies in Raman spectroscopy of water solutions of inorganic salts", Proc. SPIE 5826, Opto-Ireland 2005: Optical Sensing and Spectroscopy, (3 June 2005); https://doi.org/10.1117/12.604953

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