Study of grass carp (Ctenopharyngodon idellus) quality predictive model based on electronic nose

An electronic nose based quality predictive model of grass carp (Ctenopharyngodon idellus) stored at 277K temperature was proposed in this paper. The changes of sensor array response to samples were caused by the new-generated gas species released by microbial propagations. Principal component analy...

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Veröffentlicht in:	Sensors and actuators. B, Chemical Chemical, 2012-05, Vol.166-167, p.301-308
Hauptverfasser:	Guohua, Hui, Lvye, Wang, Yanhong, Mo, Lingxia, Zhang
Format:	Artikel
Sprache:	eng
Schlagworte:	Ctenopharyngodon idella Electronic nose foods Grass carp prediction principal component analysis Quality prediction Signal-to-noise ratio Stochastic resonance temperature
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