DocumentCode :
3118402
Title :
Comparison between an electronic nose and a human sensory panel for wine compound detection
Author :
Santos, José Pedro ; Lozano, Jesús ; Aleixandre, Manuel ; Arroyo, Teresa ; Cabellos, Juan Mariano ; Gil, Mar ; Horrillo, Maria del Carmen
Author_Institution :
Instituto de Fisica Aplicada, Madrid, Spain
fYear :
2004
fDate :
24-27 Oct. 2004
Firstpage :
341
Abstract :
An electronic nose (e-nose) based on thin film semiconductor sensors has been developed in order to compare the performance with a trained human sensory panel. The panel had 25 members and was trained to detect concentration thresholds of some compounds of interest present in wine. Typical red wine compounds such as ethyl acetate and eugenol and white wine compounds such as hexanol and ethyl octanoate were measured at different concentrations starting from the detection threshold found in the literature (in the micrograms to milligrams per liter range). Pattern recognition methods (PCA and neural networks) were used to process the data. The results showed that the performance of the e-nose for threshold detection was much better than the human panel. The compounds were detected by the e-nose at concentrations up to eight times lower than the panel.
Keywords :
beverages; electronic noses; neural nets; organic compounds; pattern recognition; principal component analysis; thin film devices; PCA; aromatic compounds; compound concentration threshold detection; e-nose; electronic nose; ethyl acetate; ethyl octanoate; eugenol; hexanol; neural networks; pattern recognition; red wine compounds; thin film semiconductor sensors; trained human sensory panel; white wine compounds; wine compound detection; Electronic noses; Gas insulated transmission lines; Humans; Olfactory; Semiconductor thin films; Sensor arrays; Sputtering; Testing; Thin film sensors; Tin;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sensors, 2004. Proceedings of IEEE
Print_ISBN :
0-7803-8692-2
Type :
conf
DOI :
10.1109/ICSENS.2004.1426172
Filename :
1426172
Link To Document :
بازگشت