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

Citation
Kl. Goodner et al., Orange, mandarin, and hybrid classification using multivariate statistics based on carotenoid profiles, J AGR FOOD, 49(3), 2001, pp. 1146-1150
Citations number
24
Categorie Soggetti
Agricultural Chemistry","Chemistry & Analysis
Journal title
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
ISSN journal
00218561 → ACNP
Volume
49
Issue
3
Year of publication
2001
Pages
1146 - 1150
Database
ISI
SICI code
0021-8561(200103)49:3<1146:OMAHCU>2.0.ZU;2-W
Abstract
A study was undertaken to differentiate citrus on the basis of a carotenoid profile obtained from the HPLC determination of 12 carotenoids found in sa ponified fresh juice. Mandarin, orange, and; various hybrid varieties were analyzed to determine their carotenoid profiles. The resulting peak areas w ere analyzed using principal component analysis (PCA), canonical discrimina te analysis (CDA), and Mahalanobis distances. These were used to develop mo dels 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 manda rin and orange clusters using PCA. CDA resulted in three distinct groups wi th only a few of the hybrids in the orange grouping.