Results
eNauka >
Results >
Predicting Bioactive Compounds in Arbutus unedo L. Leaves Using Machine Learning: Influence of Extraction Technique, Solvent Type, and Geographical Location
| Title: | Predicting Bioactive Compounds in Arbutus unedo L. Leaves Using Machine Learning: Influence of Extraction Technique, Solvent Type, and Geographical Location | Authors: | Lapić, Jasmina; Bebek-Markovinović, Anica; Račić, Nikolina; Vujanić, Lana; Kostić, Marko   ; Rakić, Dušan ; Đaković, Senka; Bursać-Kovačević, Danijela |
Issue Date: | 2026 | Publication: | Foods | ISSN: | 2304-8158 Foods Search Idenfier |
Publisher: | MDPI | Type: | Article | Collation: | vol. 15 br. 6 str. 993-993 | DOI: | 10.3390/foods15060993 | WoS-ID: | 001727267000001 | URI: | https://enauka.gov.rs/handle/123456789/1036112 | Project: | European Union (NextGenerationEU) PRIMA Project |
Metadata source: | (Preuzeto iz Nasi u WoS) | M-category: | 21M21 |
Items in eNauka are protected by copyright, with all rights reserved, unless otherwise indicated.