Quality Prediction of Kiwifruit Based on Near Infrared Spectroscopy
2012
Lee, J.S., National Agricultural Research Center for Climate Change, National Institute of Horticultural and Herbal Science, RDA, Jeju, Republic of Korea | Kim, S.C., National Agricultural Research Center for Climate Change, National Institute of Horticultural and Herbal Science, RDA, Jeju, Republic of Korea | Seong, K.C., National Agricultural Research Center for Climate Change, National Institute of Horticultural and Herbal Science, RDA, Jeju, Republic of Korea | Kim, C.H., National Agricultural Research Center for Climate Change, National Institute of Horticultural and Herbal Science, RDA, Jeju, Republic of Korea | Um, Y.C., National Institute of Horticultural and Herbal Science, RDA, Suwon, Republic of Korea | Lee, S.K., Seoul National University, Seoul, Republic of Korea
To establish the standard of ripe kiwifruit sorting, near infrared (NIR) spectroscopy was performed on kiwifruit sampled from three farms. Destructive measurements of flesh firmness, soluble solids content (SSC), and acidity were performed and compared to measurement using NIR reflectance spectrums from 408 to 2,492 nm. NIR predictions of those quality factors were calculated using the modified partial least square regression method. Flesh firmness was predicted with a standard error of prediction (SEP) of 3.32 N and with a correlation coefficient (R²) of 0.88. SSC was predicted with SEP of 0.49 °Brix and with R² of 0.98. Acidity was predicted with SEP of 0.28% and with R² of 0.91. Kiwifruit ripened at 20℃ for 15 days showed uneven qualities with normal distribution. Considering the SEP of each parameter, kiwifruit after ripening treatment could be non-destructively predicted their qualities and sorted by flesh firmness or soluble solids content through NIR prediction.
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