4.7 Article

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

期刊

JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
卷 49, 期 3, 页码 1146-1150

出版社

AMER CHEMICAL SOC
DOI: 10.1021/jf000866o

关键词

mandarin; orange; juice; statistical; classification; carotenoids; HPLC; saponification

向作者/读者索取更多资源

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.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据