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

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Figshare2018-01-01 更新2026-04-29 收录
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https://figshare.com/articles/dataset/Identification_of_roselle_varieties_through_simple_discriminating_physicochemical_characteristics_using_multivariate_analysis/5792439
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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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2018-01-01
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