The effect of various extraction techniques on the quality of sage (Salvia officinalis L.) essential oil, expressed by chemical composition, thermal properties and biological activity
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| Názov: | The effect of various extraction techniques on the quality of sage (Salvia officinalis L.) essential oil, expressed by chemical composition, thermal properties and biological activity |
|---|---|
| Autori: | Đurović, Saša, Micić, Darko, Pezo, Lato, Radić, Danka, Bazarnova, Julia, Smyatskaya, Yulia A., Blagojević, Stevan |
| Zdroj: | Food Chem X Food Chemistry: X, Vol 13, Iss, Pp 100213-(2022) Food Chemistry-X |
| Informácie o vydavateľovi: | Elsevier BV, 2022. |
| Rok vydania: | 2022 |
| Predmety: | Artificial neural network, 0106 biological sciences, Thermal properties, Nutrition. Foods and food supply, Biological activity, Chemical composition, 04 agricultural and veterinary sciences, TP368-456, Sage, 01 natural sciences, Food processing and manufacture, 6. Clean water, 0104 chemical sciences, 3. Good health, Article(s) from the Special Issue on Advances in Tea Chemistry, Flavor, Safety and Health by Dr. Xu and Dr. Yin, Extraction techniques, 0404 agricultural biotechnology, Essential oil quality, Extraction conditions, TX341-641 |
| Popis: | In this study, influence of the extraction techniques on the quality of the sage essential oil was investigated. Obtained samples were analyzed for chemical composition by GC/MS, thermal properties by thermogravimetric analysis (TGA), and for biological activity: antioxidant (DPPH, CUPRAC, FRAP, ABTS, HRSA and TBARS), microbiological (Staphylococcus aureus, Escherichia coli, Bacillus subtilis, Pseudomonas aeruginosa, Candida albicans, and Aspergillus niger), and cytotoxic (HeLa, LS-174, A549 and MRC-5) activities. Chemical composition showed that viridiflorol was principal compound in all samples followed by camphor, thujones, and verticiol. MWD 400 W was the most potent antioxidant agent, D 200 W and MWD 400 W antimicrobial agents, while hydrodistallates (D 200 W and D 400 W) were the most potent cytotoxic agents. An artificial neural network model was developed for the antioxidant activity anticipation of analyzed samples. These models showed good prediction properties (the r2 value during training cycle for output variables was 0.998). |
| Druh dokumentu: | Article Other literature type |
| Jazyk: | English |
| ISSN: | 2590-1575 |
| DOI: | 10.1016/j.fochx.2022.100213 |
| Prístupová URL adresa: | https://pubmed.ncbi.nlm.nih.gov/35498992 https://doaj.org/article/aa791a28d68f47aea3349315f5eff142 https://riofh.iofh.bg.ac.rs/handle/123456789/894 |
| Rights: | CC BY |
| Prístupové číslo: | edsair.doi.dedup.....809e07a9ddd4a8b31c3b1355dbda3a8d |
| Databáza: | OpenAIRE |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://explore.openaire.eu/search/publication?articleId=doi_dedup___%3A%3A809e07a9ddd4a8b31c3b1355dbda3a8d Name: EDS - OpenAIRE (s4221598) Category: fullText Text: View record at OpenAIRE – Url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=search&db=pmc&term=2590-1575[TA]+AND+100213[PG]+AND+2022[PDAT] Name: FREE - PubMed Central (ISSN based link) Category: fullText Text: Full Text Icon: https://imageserver.ebscohost.com/NetImages/iconPdf.gif MouseOverText: Check this PubMed for the article full text. – Url: https://resolver.ebscohost.com/openurl?sid=EBSCO:edsair&genre=article&issn=25901575&ISBN=&volume=13&issue=&date=20220301&spage=100213&pages=100213-100213&title=Food Chemistry: X&atitle=The%20effect%20of%20various%20extraction%20techniques%20on%20the%20quality%20of%20sage%20%28Salvia%20officinalis%20L.%29%20essential%20oil%2C%20expressed%20by%20chemical%20composition%2C%20thermal%20properties%20and%20biological%20activity&aulast=%C4%90urovi%C4%87%2C%20Sa%C5%A1a&id=DOI:10.1016/j.fochx.2022.100213 Name: Full Text Finder Category: fullText Text: Full Text Finder Icon: https://imageserver.ebscohost.com/branding/images/FTF.gif MouseOverText: Full Text Finder – Url: https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=EBSCO&SrcAuth=EBSCO&DestApp=WOS&ServiceName=TransferToWoS&DestLinkType=GeneralSearchSummary&Func=Links&author=%C4%90urovi%C4%87%20S Name: ISI Category: fullText Text: Nájsť tento článok vo Web of Science Icon: https://imagesrvr.epnet.com/ls/20docs.gif MouseOverText: Nájsť tento článok vo Web of Science |
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Good health</searchLink><br /><searchLink fieldCode="DE" term="%22Article%28s%29+from+the+Special+Issue+on+Advances+in+Tea+Chemistry%2C+Flavor%2C+Safety+and+Health+by+Dr%2E+Xu+and+Dr%2E+Yin%22">Article(s) from the Special Issue on Advances in Tea Chemistry, Flavor, Safety and Health by Dr. Xu and Dr. Yin</searchLink><br /><searchLink fieldCode="DE" term="%22Extraction+techniques%22">Extraction techniques</searchLink><br /><searchLink fieldCode="DE" term="%220404+agricultural+biotechnology%22">0404 agricultural biotechnology</searchLink><br /><searchLink fieldCode="DE" term="%22Essential+oil+quality%22">Essential oil quality</searchLink><br /><searchLink fieldCode="DE" term="%22Extraction+conditions%22">Extraction conditions</searchLink><br /><searchLink fieldCode="DE" term="%22TX341-641%22">TX341-641</searchLink> – Name: Abstract Label: Description Group: Ab Data: In this study, influence of the extraction techniques on the quality of the sage essential oil was investigated. Obtained samples were analyzed for chemical composition by GC/MS, thermal properties by thermogravimetric analysis (TGA), and for biological activity: antioxidant (DPPH, CUPRAC, FRAP, ABTS, HRSA and TBARS), microbiological (Staphylococcus aureus, Escherichia coli, Bacillus subtilis, Pseudomonas aeruginosa, Candida albicans, and Aspergillus niger), and cytotoxic (HeLa, LS-174, A549 and MRC-5) activities. Chemical composition showed that viridiflorol was principal compound in all samples followed by camphor, thujones, and verticiol. MWD 400 W was the most potent antioxidant agent, D 200 W and MWD 400 W antimicrobial agents, while hydrodistallates (D 200 W and D 400 W) were the most potent cytotoxic agents. An artificial neural network model was developed for the antioxidant activity anticipation of analyzed samples. These models showed good prediction properties (the r2 value during training cycle for output variables was 0.998). – Name: TypeDocument Label: Document Type Group: TypDoc Data: Article<br />Other literature type – Name: Language Label: Language Group: Lang Data: English – Name: ISSN Label: ISSN Group: ISSN Data: 2590-1575 – Name: DOI Label: DOI Group: ID Data: 10.1016/j.fochx.2022.100213 – Name: URL Label: Access URL Group: URL Data: <link linkTarget="URL" linkTerm="https://pubmed.ncbi.nlm.nih.gov/35498992" linkWindow="_blank">https://pubmed.ncbi.nlm.nih.gov/35498992</link><br /><link linkTarget="URL" linkTerm="https://doaj.org/article/aa791a28d68f47aea3349315f5eff142" linkWindow="_blank">https://doaj.org/article/aa791a28d68f47aea3349315f5eff142</link><br /><link linkTarget="URL" linkTerm="https://riofh.iofh.bg.ac.rs/handle/123456789/894" linkWindow="_blank">https://riofh.iofh.bg.ac.rs/handle/123456789/894</link> – Name: Copyright Label: Rights Group: Cpyrght Data: CC BY – Name: AN Label: Accession Number Group: ID Data: edsair.doi.dedup.....809e07a9ddd4a8b31c3b1355dbda3a8d |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.fochx.2022.100213 Languages: – Text: English PhysicalDescription: Pagination: PageCount: 1 StartPage: 100213 Subjects: – SubjectFull: Artificial neural network Type: general – SubjectFull: 0106 biological sciences Type: general – SubjectFull: Thermal properties Type: general – SubjectFull: Nutrition. Foods and food supply Type: general – SubjectFull: Biological activity Type: general – SubjectFull: Chemical composition Type: general – SubjectFull: 04 agricultural and veterinary sciences Type: general – SubjectFull: TP368-456 Type: general – SubjectFull: Sage Type: general – SubjectFull: 01 natural sciences Type: general – SubjectFull: Food processing and manufacture Type: general – SubjectFull: 6. Clean water Type: general – SubjectFull: 0104 chemical sciences Type: general – SubjectFull: 3. Good health Type: general – SubjectFull: Article(s) from the Special Issue on Advances in Tea Chemistry, Flavor, Safety and Health by Dr. Xu and Dr. Yin Type: general – SubjectFull: Extraction techniques Type: general – SubjectFull: 0404 agricultural biotechnology Type: general – SubjectFull: Essential oil quality Type: general – SubjectFull: Extraction conditions Type: general – SubjectFull: TX341-641 Type: general Titles: – TitleFull: The effect of various extraction techniques on the quality of sage (Salvia officinalis L.) essential oil, expressed by chemical composition, thermal properties and biological activity Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Đurović, Saša – PersonEntity: Name: NameFull: Micić, Darko – PersonEntity: Name: NameFull: Pezo, Lato – PersonEntity: Name: NameFull: Radić, Danka – PersonEntity: Name: NameFull: Bazarnova, Julia – PersonEntity: Name: NameFull: Smyatskaya, Yulia A. – PersonEntity: Name: NameFull: Blagojević, Stevan IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 25901575 – Type: issn-locals Value: edsair – Type: issn-locals Value: edsairFT Numbering: – Type: volume Value: 13 Titles: – TitleFull: Food Chemistry: X Type: main |
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