Sensors 2007, 7(1), 129-143; doi:10.3390/s7010129
Article

Classification of Mixtures of Odorants from Livestock Buildings by a Sensor Array (an Electronic Tongue)

Department of Biochemistry and Molecular Biology, University of Southern Denmark, Campusvej 55, DK-5230 Odense M, Denmark
* Author to whom correspondence should be addressed.
Received: 10 October 2006; Accepted: 26 January 2007 / Published: 29 January 2007
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Abstract: An electronic tongue comprising different numbers of electrodes was able to classify test mixtures of key odorants characteristic of bioscrubbers of livestock buildings (n-butyrate, iso-valerate, phenolate, p-cresolate, skatole and ammonium). The classification of model solutions indicates that the electronic tongue has a promising potential as an on- line sensor for characterization of odorants in livestock buildings. Back propagation artificial neural network was used for classification. The average classification rate was above 80% in all cases. A limited, but sufficient number of electrodes were selected by average classification rate and relative entropy. The sufficient number of electrodes decreased standard deviation and relative standard deviation compared to the full electrode array.
Keywords: electronic tongue; odorants; classification; back propagation artificial neural network (BPNN); average classification rate (ACR)

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MDPI and ACS Style

Abu-Khalaf, N.; Iversen, J.J.L. Classification of Mixtures of Odorants from Livestock Buildings by a Sensor Array (an Electronic Tongue). Sensors 2007, 7, 129-143.

AMA Style

Abu-Khalaf N, Iversen JJL. Classification of Mixtures of Odorants from Livestock Buildings by a Sensor Array (an Electronic Tongue). Sensors. 2007; 7(1):129-143.

Chicago/Turabian Style

Abu-Khalaf, Nawaf; Iversen, Jens Jørgen L. 2007. "Classification of Mixtures of Odorants from Livestock Buildings by a Sensor Array (an Electronic Tongue)." Sensors 7, no. 1: 129-143.

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