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Comparison of an Electronic Nose with the Sensory Evaluation of Food Products by “Triangle Test”
Author(s) -
Benedetti Simona,
Pompei Carlo,
Mannino Saverio
Publication year - 2004
Publication title -
electroanalysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.574
H-Index - 128
eISSN - 1521-4109
pISSN - 1040-0397
DOI - 10.1002/elan.200303036
Subject(s) - electronic nose , discriminative model , computer science , sensor array , pattern recognition (psychology) , artificial intelligence , machine learning
In this paper a novel approach for performing discriminative test in food quality control is reported. The method is based on the use of an electronic nose equipped with 10 Metal Oxide Semiconductor Field Effect Transistor (MOSFET) sensors, 12 Metal Oxide Semiconductor (MOS) sensors and one humidity sensor. The pattern of the sensor responses generated by the electronic nose has been used for performing “objective” triangle tests in several food products. The results were compared with the data obtained by using standard methodology (triangle test) of sensory analysis (UNI ISO 4120 Norm). The e‐nose is able to classify correctly all the samples under study, while the sensory panel is able to correctly perform the test only in 50% of the cases. As compared with the sensory test, the electronic nose methodology is simple, rapid and results suggest that it can be useful tool for performing discriminative testing.