Application of principal component and hierarchical cluster analysis to classify different edible Cucurbita based on in vitro antioxidant activity
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Abstract
This study investigated the variations in antioxidant profiles between nine edible Cucurbita species (pericarp and seed), using pattern recognition tools; classification was achieved based on the results of global antioxidant activity assays (DPPH, ABTS, FRAP, CUPRAC, Total reducing power, levels of total phenolics and flavonoids compounds). The pericarp samples showed significantly lower total phenol values than the seed samples. Spaghetti squash shows the highest ability to neutralize DPPH radicals among seed and pericarp extracts. This extract also shows the highest FRAP and CUPRAC values. The tested samples were grouped into pericarp extract groups and seed extract groups based on the principal component analysis of antioxidative profiles. Hierarchical cluster analysis confirmed the PCA analysis. Тhese results can guide breeders in selecting Cucurbita varieties with enhanced antioxidant traits, contributing to the development of nutritionally superior crops.
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This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution license 4.0 that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
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Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja
Grant numbers 451-03-65/2024-03/200124
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