23 Discrimination of Different Storage Time of Pork by Electronic Nose

In this study,a rapid detection method based on electronic nose for pork freshness was developed.An electronic nose(E-nose,PEN 2)was employed to classify pork groups with different storage time(0~7 d),42 samples were tested everyday.The mass of each sample was 10 g,and the headspace-generated time was 5 min.The 60th data from the response of the E-nose was extracted for further analysis.After employing the Linear Discriminant Analysis(LDA),samples could be well classified according to their storage time.Stepwise Linear Discriminant Analysis(Step-LDA)and Back Propagation Neural Network(BPNN)were also employed to predict the storage time of the samples.The result showed that Step-LDA got 100% training accuracy with 97.92% prediction accuracy,and BPNN got 94.17% training accuracy with 93.75% prediction accuracy.This study implied that electronic nose method could be expected to more wildly used on pork freshness detection.