Volatile production in ‘Fuji’ apples stored under different atmospheres by headspace/gas chromatography and electronic nose
Lopez M.L.; Echeverria G.; Graell J.; Brezmes J.; Puy J. and Correig X.
5th International Postharvest Symposium . Volume of Abstract . Verona, Italy 6-11 June 2004, p.122
2004
บทคัดย่อ
Sensor responses registered by 21 different sensors were used to classify the apples using Principal Component Analysis (PCA). This PCA model containing data from all fruits (at harvest and after storage) showed that it was possible to identify fruits from harvest or storage; it was also possible to differentiate between AIR-fruits and CA-fruits. Principal components 1 (PC1) and 2 (PC2) respectively accounted for 63 and 30% of the total variability. A PCA model containing only data of stored fruits revealed differences according to different storage periods; in this case PC1 and PC2 respectively accounted for 50 and 20% of the total variability. on the other hand, a PCA involving volatile production, sensory acceptance and sensor responses corresponding to all fruits allowed a better differentiation between fruits from 1% O2 + 2% CO2 and 3% O2 + 2% CO2 atmosphere, with an explained variance of 58% (two first PCs).