Algorithms of chemicals detection using Raman spectra

• Autorzy: Kwiatkowski A. , Gnyba M. , Smulko J. , Wierzba P.
• Języki publikacji: EN

Abstrakty

EN

Raman spectrometers are devices which enable fast and non-contact identification of examined chemicals. These devices utilize the Raman phenomenon to identify unknown and often illicit chemicals (e.g. drugs, explosives) without the necessity of their preparation. Now, Raman devices can be portable and therefore can be more widely used to improve security at public places. Unfortunately, Raman spectra measurements is a challenge due to noise and interferences present outside the laboratories. The design of a portable Raman spectrometer developed at the Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology is presented. The paper outlines sources of interferences present in Raman spectra measurements and signal processing techniques required to reduce their influence (e.g. background removal, spectra smoothing). Finally, the selected algorithms for automated chemicals classification are presented. The algorithms compare the measured Raman spectra with a reference spectra library to identify the sample. Detection efficiency of these algorithms is discussed and directions of further research are outlined.

Słowa kluczowe

EN

data processing algorithms; noise; interferences; Raman spectroscopy

• Wydawca: Komitet Metrologii i Aparatury Naukowej PAN
• Czasopismo: Metrology and Measurement Systems
• Rocznik: 2010
• Tom: Vol. 17, nr 4
• Strony: 549--559
• Opis fizyczny: Bibliogr. 11 poz., rys., tab., wykr.

Twórcy

autor

Kwiatkowski A.

autor

Gnyba M.

autor

Smulko J.

autor

Wierzba P.

• Gdansk University of Technology, Faculty of Electronics, Telecommunications and Informatics, G. Narutowicza 11/12, 80-233 Gdansk, Poland,

Bibliografia

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• [6] https://ftirsearch.com/help/algo.htm
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• [11] Denton, M.B., Sperline, R.P., Giles, J.H., Gilmore, D.A., Pommier, C.J.S., Downs, R.T. (2003). Advances in the Application of Array Detectors for Improved Chemical Analysis, Part I. Comparison of Qualitative Analyses Using Large, Computer-Based Spectral Libraries. Aust. J. Chem., 53, 117-131.