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http://yadda.icm.edu.pl:80/baztech/element/bwmeta1.element.baztech-article-BSW1-0075-0004

Czasopismo

Metrology and Measurement Systems

Tytuł artykułu

Algorithms of chemicals detection using Raman spectra

Autorzy Kwiatkowski, A.  Gnyba, M.  Smulko, J.  Wierzba, P. 
Treść / Zawartość http://www.metrology.pg.gda.pl/archives.html http://journals.pan.pl/dlibra/journal/99851
Warianty tytułu
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, akwiatkowski@zak.eti.pg.gda.pl
Bibliografia
[1] European technical standard EN 60825-1:2007 Safety of laser products - Part 1: Equipment classification and requirements. Equivalen of the Polish technical standard PN-EN 60825-1: Bezpieczeństwo urządzeń laserowych - Część 1: Klasyfikacja sprzętu i wymagań. (in Polish)
[2] Bielecki, Z., Rogalski, A., (2001). Detekcja sygnałów optycznych. Warszawa: WNT. (in Polish)
[3] Azarraga, L.V., Hanna D.A. GIFTS, Athens ERL GC/FT-IR Software and User’s Guide.
[4] Lam, T. (2004). A New Era in Affordable Raman Spectroscopy. Raman Technology For Today’s Spectroscopists, 30-37.
[5] McCreery R.L., Raman Spectroscopy for Chemical Analysis, John Wiley & Sons, New York 2000.
[6] https://ftirsearch.com/help/algo.htm
[7] Fochesatto, J., Sloan, J., (2009). Signal processing of multicomponent Raman spectra of particulate matter. Selected topics in electronics and systems. World Scientific, 49, 49-66,.
[8] Næs, T., Isaksson, T., Fearn, T., Davies, T. (2002). Multivariate Calibration and Classification. NIR Publications.
[9] Martens, H., Næs,T., (1989). Multivariate Calibration. John Wiley & Sons Ltd.
[10] Cristianini, N., Shawe-Taylor, J. (2000). An Introduction to Support Vector Machines. Cambridge University Press.
[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.
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