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Sensors 2017, 17(10), 2380; doi:10.3390/s17102380

Determination of Odour Interactions of Three-Component Gas Mixtures Using an Electronic Nose

1
Department of Chemical and Process Engineering, Faculty of Chemistry, Gdansk University of Technology, 11/12 G. Narutowicza Str., 80233 Gdańsk, Poland
2
Department of Analytical Chemistry, Faculty of Chemistry, Gdansk University of Technology, 11/12 G. Narutowicza Str., 80233 Gdańsk, Poland
*
Author to whom correspondence should be addressed.
Received: 31 August 2017 / Revised: 25 September 2017 / Accepted: 17 October 2017 / Published: 18 October 2017
(This article belongs to the Special Issue Artificial Olfaction and Taste)
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Abstract

The paper presents an application of an electronic nose prototype comprised of six TGS-type sensors and one PID-type sensor to identify odour interaction phenomena in odorous three-component mixtures. The investigation encompassed eight odorous mixtures—toluene-acetone-triethylamine and formaldehyde-butyric acid-pinene—characterized by different odour intensity and hedonic tone. A principal component regression (PCR) calibration model was used for evaluation of predicted odour intensity and hedonic tone. Correctness of identification of odour interactions in the odorous three-component mixtures was determined based on the results obtained with the electronic nose. The results indicated a level of 75–80% for odour intensity and 57–73% for hedonic tone. The average root mean square error of prediction amounted to 0.03–0.06 for odour intensity determination and 0.07–0.34 for hedonic tone evaluation of the odorous three-component mixtures. View Full-Text
Keywords: electronic nose; odour interactions; principal component regression; odour intensity; hedonic tone electronic nose; odour interactions; principal component regression; odour intensity; hedonic tone
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Szulczyński, B.; Namieśnik, J.; Gębicki, J. Determination of Odour Interactions of Three-Component Gas Mixtures Using an Electronic Nose. Sensors 2017, 17, 2380.

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