Orange, Mandarin, and Hybrid Classification Using Multivariate Statistics Based on Carotenoid Profiles

A study was undertaken to differentiate citrus on the basis of a carotenoid profile obtained from the HPLC determination of 12 carotenoids found in saponified fresh juice. Mandarin, orange, and various hybrid varieties were analyzed to determine their carotenoid profiles. The resulting peak areas we...

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Veröffentlicht in:Journal of agricultural and food chemistry 2001-03, Vol.49 (3), p.1146-1150
Hauptverfasser: Goodner, K. L, Rouseff, R. L, Hofsommer, H. J
Format: Artikel
Sprache:eng
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Zusammenfassung:A study was undertaken to differentiate citrus on the basis of a carotenoid profile obtained from the HPLC determination of 12 carotenoids found in saponified fresh juice. Mandarin, orange, and various hybrid varieties were analyzed to determine their carotenoid profiles. The resulting peak areas were analyzed using principal component analysis (PCA), canonical discriminate analysis (CDA), and Mahalanobis distances. These were used to develop models for classifying the juices into appropriate groups. Thirty-two samples were analyzed to determine classification techniques. Mandarin and orange juices were quite distinct, with the hybrids scattered throughout the mandarin and orange clusters using PCA. CDA resulted in three distinct groups with only a few of the hybrids in the orange grouping. Keywords: Mandarin; orange; juice; statistical; classification; carotenoids; HPLC; saponification
ISSN:0021-8561
1520-5118
DOI:10.1021/jf000866o