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

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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.

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APA

Kane, A., Achir, N., Cisse, M., Pallet, D., Sakho, M., & Dornier, M. (2019). Identification of roselle varieties through simple discriminating physicochemical characteristics using multivariate analysis. Food Science and Technology (Brazil), 39(2), 321–327. https://doi.org/10.1590/1678-457X.29417

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