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https://scidar.kg.ac.rs/handle/123456789/17568
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DC Field | Value | Language |
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dc.rights.license | CC0 1.0 Universal | * |
dc.contributor.author | Mitić, Milan | - |
dc.contributor.author | Mitić, Jelena | - |
dc.contributor.author | Nikolić, Jelena | - |
dc.contributor.author | Mašković, Pavle | - |
dc.date.accessioned | 2023-04-06T08:35:40Z | - |
dc.date.available | 2023-04-06T08:35:40Z | - |
dc.date.issued | 2023 | - |
dc.identifier.isbn | 9788687611887 | en_US |
dc.identifier.uri | https://scidar.kg.ac.rs/handle/123456789/17568 | - |
dc.description.abstract | This study aimed to determine and compare a polyphenolic profile of the fruit tree leaves of ten commonly commercially and wildly consumed fruits: apricot, plum, peach, quince, apple, blackcurrant, redcurrant, blackberry, raspberry, and dog rose. The polyphenolic profile was determined using HPLCmethod.Inleaves were identified 17 individual phenolics. To evaluate relationships through various fruit tree leaves, Principal Component Analysis (PCA)was employed. Two statistically significant components were identified, grouping fruit tree leaves based on phenolic compounds content. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Univerzitet u Kragujevcu, Agronomski fakultet u Čačku | en_US |
dc.rights | info:eu-repo/semantics/openAccess | - |
dc.rights.uri | http://creativecommons.org/publicdomain/zero/1.0/ | * |
dc.source | XXVIII savetovanje o biotehnologiji sa međunarodnim učešćem | - |
dc.subject | tree leaves | en_US |
dc.subject | polyphenolic profile | en_US |
dc.subject | HPLC | en_US |
dc.subject | Principal component analysis | en_US |
dc.title | CLASSIFICATION OF FRUIT TREE LEAVES ACORDING TO PHENOLIC PROFILE USING PRINCIPAL COMPONENT ANALYSIS | en_US |
dc.type | conferenceObject | en_US |
dc.description.version | Published | en_US |
dc.identifier.doi | 10.46793/SBT28.491M | en_US |
dc.type.version | PublishedVersion | en_US |
Appears in Collections: | Faculty of Agronomy, Čačak |
Files in This Item:
File | Description | Size | Format | |
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62-SoBT2023_Mitić M. et al (1).pdf | 333.42 kB | Adobe PDF | View/Open |
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