Application of principal component and hierarchical cluster analysis to classify different edible Cucurbita based on in vitro antioxidant activity

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 of power, levels...

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Main Authors: Mitić Violeta, Nikolić Jelena, Dimitrijević Marija, Stankov-Jovanović Vesna, Stojanović Gordana
Format: Article
Language:English
Published: Serbian Chemical Society 2025-01-01
Series:Journal of the Serbian Chemical Society
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Online Access:https://doiserbia.nb.rs/img/doi/0352-5139/2025/0352-51392500010M.pdf
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author Mitić Violeta
Nikolić Jelena
Dimitrijević Marija
Stankov-Jovanović Vesna
Stojanović Gordana
author_facet Mitić Violeta
Nikolić Jelena
Dimitrijević Marija
Stankov-Jovanović Vesna
Stojanović Gordana
author_sort Mitić Violeta
collection DOAJ
description 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 of power, levels of total phenolics and flavonoids compounds). The pericarp samples showed significantly lower total phenol values than the seed samples. The 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. Тhe presented results can guide breeders in selecting Cucurbita varieties with enhanced antioxidant traits, contributing to the development of nutritionally superior crops.
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language English
publishDate 2025-01-01
publisher Serbian Chemical Society
record_format Article
series Journal of the Serbian Chemical Society
spelling doaj-art-e6e08de44b644b93b2583f164ed99aa32025-08-20T02:46:02ZengSerbian Chemical SocietyJournal of the Serbian Chemical Society0352-51391820-74212025-01-0190563966010.2298/JSC240711010M0352-51392500010MApplication of principal component and hierarchical cluster analysis to classify different edible Cucurbita based on in vitro antioxidant activityMitić Violeta0https://orcid.org/0000-0003-4121-6492Nikolić Jelena1https://orcid.org/0000-0002-9351-331XDimitrijević Marija2https://orcid.org/0000-0003-1816-0400Stankov-Jovanović Vesna3https://orcid.org/0000-0001-7885-0476Stojanović Gordana4https://orcid.org/0000-0002-3128-6510Department of Chemistry, Faculty of Science and Mathematics, University of Niš, SerbiaDepartment of Chemistry, Faculty of Science and Mathematics, University of Niš, SerbiaFaculty of Medicine, University of Niš, SerbiaDepartment of Chemistry, Faculty of Science and Mathematics, University of Niš, SerbiaDepartment of Chemistry, Faculty of Science and Mathematics, University of Niš, SerbiaThis 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 of power, levels of total phenolics and flavonoids compounds). The pericarp samples showed significantly lower total phenol values than the seed samples. The 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. Тhe presented results can guide breeders in selecting Cucurbita varieties with enhanced antioxidant traits, contributing to the development of nutritionally superior crops.https://doiserbia.nb.rs/img/doi/0352-5139/2025/0352-51392500010M.pdfcucurbita genustotal phenolic contenttotal flavonoid contentantioxidant activitychemometric approach
spellingShingle Mitić Violeta
Nikolić Jelena
Dimitrijević Marija
Stankov-Jovanović Vesna
Stojanović Gordana
Application of principal component and hierarchical cluster analysis to classify different edible Cucurbita based on in vitro antioxidant activity
Journal of the Serbian Chemical Society
cucurbita genus
total phenolic content
total flavonoid content
antioxidant activity
chemometric approach
title Application of principal component and hierarchical cluster analysis to classify different edible Cucurbita based on in vitro antioxidant activity
title_full Application of principal component and hierarchical cluster analysis to classify different edible Cucurbita based on in vitro antioxidant activity
title_fullStr Application of principal component and hierarchical cluster analysis to classify different edible Cucurbita based on in vitro antioxidant activity
title_full_unstemmed Application of principal component and hierarchical cluster analysis to classify different edible Cucurbita based on in vitro antioxidant activity
title_short Application of principal component and hierarchical cluster analysis to classify different edible Cucurbita based on in vitro antioxidant activity
title_sort application of principal component and hierarchical cluster analysis to classify different edible cucurbita based on in vitro antioxidant activity
topic cucurbita genus
total phenolic content
total flavonoid content
antioxidant activity
chemometric approach
url https://doiserbia.nb.rs/img/doi/0352-5139/2025/0352-51392500010M.pdf
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AT nikolicjelena applicationofprincipalcomponentandhierarchicalclusteranalysistoclassifydifferentediblecucurbitabasedoninvitroantioxidantactivity
AT dimitrijevicmarija applicationofprincipalcomponentandhierarchicalclusteranalysistoclassifydifferentediblecucurbitabasedoninvitroantioxidantactivity
AT stankovjovanovicvesna applicationofprincipalcomponentandhierarchicalclusteranalysistoclassifydifferentediblecucurbitabasedoninvitroantioxidantactivity
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