Publication
Optimization of heat and ultrasound-assisted extraction of Eucalyptus globulus leaves reveals strong antioxidant and antimicrobial properties
| datacite.subject.fos | Ciências Agrárias::Agricultura, Silvicultura e Pescas | |
| datacite.subject.sdg | 03:Saúde de Qualidade | |
| datacite.subject.sdg | 13:Ação Climática | |
| datacite.subject.sdg | 15:Proteger a Vida Terrestre | |
| dc.contributor.author | Lima, Laíres | |
| dc.contributor.author | Pereira, Ana I. | |
| dc.contributor.author | Vaz, Clara B. | |
| dc.contributor.author | Ferreira, Olga | |
| dc.contributor.author | Dias, Maria Inês | |
| dc.contributor.author | Heleno, Sandrina A. | |
| dc.contributor.author | Calhelha, Ricardo C. | |
| dc.contributor.author | Barros, Lillian | |
| dc.contributor.author | Carocho, Márcio | |
| dc.date.accessioned | 2025-04-01T15:44:49Z | |
| dc.date.available | 2025-04-01T15:44:49Z | |
| dc.date.issued | 2025 | |
| dc.description.abstract | The extraction of phenolic compounds from eucalyptus leaves was optimized using heat and ultrasound-assisted techniques, and the bioactive potential of the resulting extract was assessed. The independent variables, including time (t), solvent concentration (S), and temperature (T) or power (P), were incorporated into a fivelevel central composite design combined with Response Surface Methodology. Phenolic content was determined by HPLC-DAD-ESI/MS and used as response criteria. The developed models were successfully fitted to the experimental data to identify the optimal extraction conditions. Heat-assisted extraction proved to be the most efficient method for phenolic recovery, yielding 27 ± 2 mg/g extract under optimal conditions (120 min, 76.5 ◦C, and 25 % ethanol, v/v). The extracts exhibited a high concentration of phenolic glycoside derivatives, including gallotannin, quercetin, and isorhamnetin. These findings suggest that the extracts hold promise as natural additives in food technology, owing to their moderate antimicrobial activity and strong antioxidant properties. | eng |
| dc.description.sponsorship | This work was supported by the Foundation for Science and Technology (FCT, Portugal) through national funds FCT/MCTES (PIDDAC), CIMO (UIDB/00690/2020 and UIDP/00690/2020), CeDRI (UIDB/ 05757/2020 and UIDP/05757/2020) and SusTEC (LA/P/0007/2021). L. Lima thank the FCT for the national funding through the individual research grant BD/13393/2022. S. Heleno and M. Carocho thank FCT for their individual employment program–contract (CEEC-IND/00831/ 2018, CEECIND/03040/2017) and M.I. Dias, R. Calhelha, and L. Barros also thank to the national funding by FCT through the institutional scientific employment program–contract for their contracts. The authors are also grateful to the European Regional Development Fund (ERDF) through the Regional Operational Program North 2020, within the scope of the project Norte-01-0145-FEDER-000042: GreenHealth. | |
| dc.identifier.doi | 10.1016/j.foodchem.2025.143755 | |
| dc.identifier.issn | 0308-8146 | |
| dc.identifier.uri | http://hdl.handle.net/10198/34380 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.publisher | Elsevier | |
| dc.relation | Mountain Research Center | |
| dc.relation | Research Centre in Digitalization and Intelligent Robotics | |
| dc.relation | Research Centre in Digitalization and Intelligent Robotics | |
| dc.relation | Predifood - Predictive and Accelerated Models for Food Shelf-Life Assessment | |
| dc.relation | Not Available | |
| dc.relation | UIDP/05757/2020 | |
| dc.relation | BD/13393/2022 | |
| dc.relation.ispartof | Food Chemistry | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | Eucalyptus globulus | |
| dc.subject | Bioactive compounds | |
| dc.subject | Extraction optimization | |
| dc.subject | Phenolic compounds | |
| dc.subject | Extraction optimization | |
| dc.title | Optimization of heat and ultrasound-assisted extraction of Eucalyptus globulus leaves reveals strong antioxidant and antimicrobial properties | eng |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.awardTitle | Mountain Research Center | |
| oaire.awardTitle | Research Centre in Digitalization and Intelligent Robotics | |
| oaire.awardTitle | Research Centre in Digitalization and Intelligent Robotics | |
| oaire.awardTitle | Predifood - Predictive and Accelerated Models for Food Shelf-Life Assessment | |
| oaire.awardTitle | Not Available | |
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| oaire.awardURI | info:eu-repo/grantAgreement/FCT/POR_NORTE/2022.13393.BD/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/CEEC IND 2017/CEECIND%2F03040%2F2017%2FCP1403%2FCT0001/PT | |
| oaire.citation.endPage | 10 | |
| oaire.citation.startPage | 1 | |
| oaire.citation.title | Food Chemistry | |
| oaire.citation.volume | 479 | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.fundingStream | POR_NORTE | |
| oaire.fundingStream | CEEC IND 2017 | |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
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