Identification of roselle varieties through simple discriminating physicochemical characteristics using multivariate analysis

Abstract The objective of this work is to study the feasibility of a more objective and rigorous classification of the calices of Hibiscus sabdariffa based on their physicochemical profile. To do so, 19 analyses were carried out on 4 varieties of calices cultivated in Senegal: Vimto, Koor, Thaï and CLT92. Principal component analysis results showed that 15 physicochemical and biochemical parameters could be potentially used to discriminate the varieties of calices. Polyphenolic and anthocyanin contents were anti-correlated to protein content and could be used to differentiate the Vimto/CLT92 and the Koor/Thaï varieties. Within these two clusters, pH and lipid content could discriminate each variety. Finally, factorial discriminant analysis showed that total anthocyanin content, lipid content and chromaticity C* were the 3 parameters enabling the most efficient classification of calices according to variety and led to 100% classification accuracy.

摘要
本研究旨在基于玫瑰茄（Hibiscus sabdariffa）花萼的理化特征，对其开展更客观且严谨的分类研究。为此，研究人员对在塞内加尔种植的4个品种的花萼开展了19项检测分析，涉及品种包括Vimto、Koor、Thaï与CLT92。主成分分析（Principal Component Analysis）结果显示，15项理化与生化参数可潜在用于区分不同品种的玫瑰茄花萼。多酚与花色苷含量与蛋白质含量呈负相关，可用于区分Vimto/CLT92与Koor/Thaï两组品种。在这两个聚类组内，pH值与脂质含量可进一步区分各组内的具体品种。最后，因子判别分析（Factorial Discriminant Analysis）结果显示，总花色苷含量、脂质含量以及色度C*是实现按品种对玫瑰茄花萼进行高效分类的3项核心参数，分类准确率可达100%。