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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 ofodour 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.
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- Category:
- Articles
- Type:
- artykuł w czasopiśmie wyróżnionym w JCR
- Published in:
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SENSORS
no. 17,
pages 1 - 18,
ISSN: 1424-8220 - Language:
- English
- Publication year:
- 2017
- Bibliographic description:
- Szulczyński B., Namieśnik J., Gębicki J.: Determination of Odour Interactions of Three-Component Gas Mixtures Using an Electronic Nose// SENSORS-BASEL. -Vol. 17, (2017), s.1-18
- DOI:
- Digital Object Identifier (open in new tab) 10.3390/s17102380
- Verified by:
- Gdańsk University of Technology
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