Title :
The novel EOS835 electronic nose sniffs out the Italian espresso coffee quality
Author :
Falasconi, M. ; Pardo, M. ; Sberveglieri, G. ; Riccò, I. ; Nardini, F. ; Delia Torre, M. ; Bresciani, A.
Author_Institution :
Dept. of Chem. & Phys. for Eng., Brescia Univ., Italy
Abstract :
We present the novel electronic olfactory system EOS835 manufactured by Sacmi Imola s.c.a.r.l. based on the University of Brescia electronic nose prototype Pico2. The EOS835 is a reliable system equipped with very sensitive and stable thin-film metal oxide gas sensors. A new feature extraction algorithm (phase space integral) has been applied to improve the system classification performance. The electronic nose has been used to evaluate the quality of the Italian espresso coffee produced by Jolly Caffe S.p.A. in order to determine the best time for packaging.
Keywords :
beverages; chemical variables measurement; electronic noses; feature extraction; pattern classification; signal processing equipment; EOS835 electronic nose; Italian espresso coffee quality; data preprocessing; electronic olfactory system; feature extraction algorithm; feature selection; food processing; phase space integral; system classification performance; thin-film metal oxide gas sensors; Earth Observing System; Electronic noses; Feature extraction; Gas detectors; Laboratories; Olfactory; Packaging; Prototypes; Sampling methods; Sensor systems;
Conference_Titel :
Sensors, 2003. Proceedings of IEEE
Print_ISBN :
0-7803-8133-5
DOI :
10.1109/ICSENS.2003.1278889
