Phenolic Constituents, Antioxidant and Antimicrobial Activity and Clustering Analysis of Propolis Samples Based on PCA from Different Regions of Anatolia
This study aimed to evaluate the biochemical composition and biological activity of propolis samples from different regions of Türkiye to characterize and classify 24 Anatolian propolis samples according to their geographical origin. Chemometric techniques, namely, principal component analysis (PCA)...
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MDPI AG
2023-01-01
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Online Access: | https://www.mdpi.com/1420-3049/28/3/1121 |
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author | Ümit Altuntaş İsmail Güzel Beraat Özçelik |
author_facet | Ümit Altuntaş İsmail Güzel Beraat Özçelik |
author_sort | Ümit Altuntaş |
collection | DOAJ |
description | This study aimed to evaluate the biochemical composition and biological activity of propolis samples from different regions of Türkiye to characterize and classify 24 Anatolian propolis samples according to their geographical origin. Chemometric techniques, namely, principal component analysis (PCA) and a hierarchical clustering algorithm (HCA), were applied for the first time to all data, including antioxidant capacity, individual phenolic constituents, and the antimicrobial activity of propolis to reveal the possible clustering of Anatolian propolis samples according to their geographical origin. As a result, the total phenolic content (TPC) of the propolis samples varied from 16.73 to 125.83 mg gallic acid equivalent per gram (GAE/g) sample, while the number of total flavonoids varied from 57.98 to 327.38 mg quercetin equivalent per gram (QE/g) sample. The identified constituents of propolis were phenolic/aromatic acids (chlorogenic acid, caffeic acid, <i>p</i>-coumaric acid, ferulic acid, and trans-cinnamic acid), phenolic aldehyde (vanillin), and flavonoids (pinocembrin, kaempferol, pinobanksin, and apigenin). This study has shown that the application of the PCA chemometric method to the biochemical composition and biological activity of propolis allows for the successful clustering of Anatolian propolis samples from different regions of Türkiye, except for samples from the Black Sea region. |
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issn | 1420-3049 |
language | English |
last_indexed | 2024-03-11T09:33:49Z |
publishDate | 2023-01-01 |
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spelling | doaj.art-e71a0a21a0044ee98d47917d9bb57d742023-11-16T17:27:56ZengMDPI AGMolecules1420-30492023-01-01283112110.3390/molecules28031121Phenolic Constituents, Antioxidant and Antimicrobial Activity and Clustering Analysis of Propolis Samples Based on PCA from Different Regions of AnatoliaÜmit Altuntaş0İsmail Güzel1Beraat Özçelik2Department of Food Engineering, İstanbul Technical University, 34469 İstanbul, TurkeyDepartment of Mathematical Engineering, İstanbul Technical University, 34469 İstanbul, TurkeyDepartment of Food Engineering, İstanbul Technical University, 34469 İstanbul, TurkeyThis study aimed to evaluate the biochemical composition and biological activity of propolis samples from different regions of Türkiye to characterize and classify 24 Anatolian propolis samples according to their geographical origin. Chemometric techniques, namely, principal component analysis (PCA) and a hierarchical clustering algorithm (HCA), were applied for the first time to all data, including antioxidant capacity, individual phenolic constituents, and the antimicrobial activity of propolis to reveal the possible clustering of Anatolian propolis samples according to their geographical origin. As a result, the total phenolic content (TPC) of the propolis samples varied from 16.73 to 125.83 mg gallic acid equivalent per gram (GAE/g) sample, while the number of total flavonoids varied from 57.98 to 327.38 mg quercetin equivalent per gram (QE/g) sample. The identified constituents of propolis were phenolic/aromatic acids (chlorogenic acid, caffeic acid, <i>p</i>-coumaric acid, ferulic acid, and trans-cinnamic acid), phenolic aldehyde (vanillin), and flavonoids (pinocembrin, kaempferol, pinobanksin, and apigenin). This study has shown that the application of the PCA chemometric method to the biochemical composition and biological activity of propolis allows for the successful clustering of Anatolian propolis samples from different regions of Türkiye, except for samples from the Black Sea region.https://www.mdpi.com/1420-3049/28/3/1121propolisAnatoliaantioxidant activityphenolicsclusteringPCA |
spellingShingle | Ümit Altuntaş İsmail Güzel Beraat Özçelik Phenolic Constituents, Antioxidant and Antimicrobial Activity and Clustering Analysis of Propolis Samples Based on PCA from Different Regions of Anatolia Molecules propolis Anatolia antioxidant activity phenolics clustering PCA |
title | Phenolic Constituents, Antioxidant and Antimicrobial Activity and Clustering Analysis of Propolis Samples Based on PCA from Different Regions of Anatolia |
title_full | Phenolic Constituents, Antioxidant and Antimicrobial Activity and Clustering Analysis of Propolis Samples Based on PCA from Different Regions of Anatolia |
title_fullStr | Phenolic Constituents, Antioxidant and Antimicrobial Activity and Clustering Analysis of Propolis Samples Based on PCA from Different Regions of Anatolia |
title_full_unstemmed | Phenolic Constituents, Antioxidant and Antimicrobial Activity and Clustering Analysis of Propolis Samples Based on PCA from Different Regions of Anatolia |
title_short | Phenolic Constituents, Antioxidant and Antimicrobial Activity and Clustering Analysis of Propolis Samples Based on PCA from Different Regions of Anatolia |
title_sort | phenolic constituents antioxidant and antimicrobial activity and clustering analysis of propolis samples based on pca from different regions of anatolia |
topic | propolis Anatolia antioxidant activity phenolics clustering PCA |
url | https://www.mdpi.com/1420-3049/28/3/1121 |
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