Orange, mandarin, and hybrid classification using multivariate statistics based on carotenoid profiles

被引:92
作者
Goodner, KL [1 ]
Rouseff, RL
Hofsommer, HJ
机构
[1] USDA ARS, Citrus & Subtrop Prod Lab, Winter Haven, FL 33881 USA
[2] Univ Florida, Ctr Agr Res & Educ, Ctr Citrus Res & Educ, Lake Alfred, FL 33850 USA
[3] Gesell Lebensmittel Forsch, D-10787 Berlin, Germany
关键词
mandarin; orange; juice; statistical; classification; carotenoids; HPLC; saponification;
D O I
10.1021/jf000866o
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
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 fdr 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.
引用
收藏
页码:1146 / 1150
页数:5
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