Differential electronic nose in on-line dynamic measurements

• Autorzy: Osowski S. , Siwek K. , Grzywacz T. , Brudzewski K.

Identyfikatory

DOI

10.2478/mms-2014-0053

• Języki publikacji: EN

Abstrakty

EN

The paper presents application of differential electronic nose in the dynamic (on-line) volatile measurement. First we compare the classical nose employing only one sensor array and its extension in the differential form containing two sensor arrays working in differential mode. We show that differential nose performs better at changing environmental conditions, especially the temperature, and well performs in the dynamic mode of operation. We show its application in recognition of different brands of tobacco.

Słowa kluczowe

EN

electronic nose; differential system; volatile recognition

• Wydawca: Komitet Metrologii i Aparatury Naukowej PAN
• Czasopismo: Metrology and Measurement Systems
• Rocznik: 2014
• Tom: Vol. 21, nr 4
• Strony: 649--662
• Opis fizyczny: Bibliogr. 9 poz., rys., tab., wykr., wzory

Twórcy

autor

Osowski S.

• Warsaw University of Technology, Faculty of Electrical Engineering, Koszykowa 75, Warsaw, Poland
• Military University of Technology, Faculty of Electronic Engineering, Kaliskiego 1, Warsaw, Poland

autor

Siwek K.

• Warsaw University of Technology, Faculty of Electrical Engineering, Koszykowa 75, Warsaw, Poland

autor

Grzywacz T.

• Warsaw University of Technology, Faculty of Electrical Engineering, Koszykowa 75, Warsaw, Poland

autor

Brudzewski K.

• Warsaw University of Technology, Faculty of Chemistry, Noakowskiego 3, Warsaw, Poland

Bibliografia

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• [2] Gardner, J. W., Bartlett, P.N. (1999). Electronic noses - principles and applications. Oxford: Oxford University Press.
• [3] Brudzewski, K., Osowski, S., Ulaczyk, J. (2010). Differential electronic nose of two chemo sensor arrays for odor discrimination. Sensors and Actuators B, 145, 246-249.
• [4] Kwon, H. J., Kim, D. G., Hong, K. S. (2013). Multiple odor recognition and source direction estimation with an electronic nose system. International Journal of Distributed Sensor Networks, ID 361378, 1-7.
• [5] Wilson, D., Baietto, M. (2009). Applications and advances in electronic-nose technologies. Sensors, 9, 5099-5148.
• [6] Brudzewski, K., Osowski, S., Golembiecka, A. (2012). Differential electronic nose and Support Vector Machine for fast recognition of tobacco. Expert Systems with Applications, 39, 9886-9891.
• [7] Matlab Signal Processing Toolbox (2013). Natick: Mathworks.
• [8] Schölkopf, B., Smola, A. (2002). Learning with kernels. Cambridge, MA: MIT Press.
• [9] Barman, I., Dingari, N. C., Singh, G. P., Soares, J. S., Dasari, R. R., Smulko, J. M. (2012). Investigation of noise-induced instabilities in quantitative biological spectroscopy and its implications for noninvasive glucose monitoring. Analytical Chemistry, 84(19), 8149-8156.