Publicação
Cistus, Acacia, and Lemon verbena Valorization through Response Surface Methodology: Optimization Studies and Potential Application in the Pharmaceutical and Nutraceutical Industries
| dc.contributor.author | Fernandes, Filipa Alexandra | |
| dc.contributor.author | Carocho, Márcio | |
| dc.contributor.author | Finimundy, Tiane C. | |
| dc.contributor.author | Prieto Lage, Miguel A. | |
| dc.contributor.author | Ferreira, Isabel C.F.R. | |
| dc.contributor.author | Barros, Lillian | |
| dc.contributor.author | Heleno, Sandrina A. | |
| dc.date.accessioned | 2024-06-27T13:31:19Z | |
| dc.date.available | 2024-06-27T13:31:19Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | Cistus ladanifer L., Acacia dealbata L., and Aloysia citrodora Paláu were subject to an optimization procedure for two extraction techniques (heat-assisted extraction (HAE) and ultrasound-assisted extraction (UAE)). The extracts were then analyzed by HPLC-DAD-ESI/MS for their phenolic profile (cistus—15 compounds, acacia—21 compounds, and lemon verbena—9 compounds). The response surface methodology was applied, considering four varying factors: ethanol percentage; extraction time; temperature/power; and S/L ratio, generating two responses (the major phenolic compound, or family of compounds, and the extraction yield). For cistus, both techniques optimized the extraction yield of punicalagins, with UAE proving to be the most efficient extraction method (3.22% ethanol, 22 min, 171 W, and 35 g/L). For acacia, HAE maximized the extraction of procyanidin (74% ethanol, 86 min, 24 °C, and 50 g/L), and UAE maximized the content of myricetin (65% ethanol, 8 min, 50 W, and 50 g/L). For lemon verbena, HAE favored the extraction of martynoside (13% ethanol, 96 min, 49 °C and 17 g/L) and forsythiaside UAE (94% ethanol, 25 min, 399 W, and 29 g/L). The optimal conditions for the extraction of compounds with high added value and potential for use in pharmaceuticals and nutraceuticals were defined. | pt_PT |
| dc.description.sponsorship | This research was funded by national funds through FCT/MCTES (PIDDAC): CIMO, UIDB/00690/2020 (https://doi.org/10.54499/UIDB/00690/2020) and UIDP/00690/2020 (https: //doi.org/10.54499/UIDP/00690/2020) and SusTEC, LA/P/0007/2020 (https://doi.org/10.544 99/LA/P/0007/2020), through the individual research grant (SFRH/BD/145467/2019) of Filipa Fernandes, through the individual scientific employment program-contract with Márcio Carocho (10.54499/CEECIND/00831/2018/CP1578/CT0001), and the institutional scientific employment program-contract with Sandrina A. Heleno and Lillian Barros, and the MICINN through the contract to researcher Miguel A. Prieto. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.citation | Fernandes, Filipa Alexandra; Carocho, Márcio; Finimundy, Tiane C.; Prieto Lage, Miguel A.; Ferreira, Isabel C.F.R.; Barros, Lillian; Heleno, Sandrina A. (2024). Cistus, Acacia, and Lemon verbena Valorization through Response Surface Methodology: Optimization Studies and Potential Application in the Pharmaceutical and Nutraceutical Industries. Pharmaceuticals. ISSN 1424-8247. 17:5, p. 1-28 | pt_PT |
| dc.identifier.doi | 10.3390/ph17050593 | pt_PT |
| dc.identifier.issn | 1424-8247 | |
| dc.identifier.uri | http://hdl.handle.net/10198/29955 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.publisher | MDPI | pt_PT |
| dc.relation | Mountain Research Center | |
| dc.relation | Mountain Research Center | |
| dc.relation | Associate Laboratory for Sustainability and Tecnology in Mountain Regions | |
| dc.relation | Not Available | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | Acacia dealbataL | pt_PT |
| dc.subject | Aloysia citrodora Paláu | pt_PT |
| dc.subject | Cistus ladaniferL | pt_PT |
| dc.subject | Extraction optimization | pt_PT |
| dc.subject | Phenolic compounds | pt_PT |
| dc.subject | Response surface methodology | pt_PT |
| dc.title | Cistus, Acacia, and Lemon verbena Valorization through Response Surface Methodology: Optimization Studies and Potential Application in the Pharmaceutical and Nutraceutical Industries | pt_PT |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.awardNumber | UIDB/00690/2020 | |
| oaire.awardNumber | UIDP/00690/2020 | |
| oaire.awardNumber | LA/P/0007/2020 | |
| oaire.awardNumber | SFRH/BD/145467/2019 | |
| oaire.awardNumber | CEECIND/00831/2018/CP1578/CT0001 | |
| oaire.awardTitle | Mountain Research Center | |
| oaire.awardTitle | Mountain Research Center | |
| oaire.awardTitle | Associate Laboratory for Sustainability and Tecnology in Mountain Regions | |
| oaire.awardTitle | Not Available | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00690%2F2020/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F00690%2F2020/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0007%2F2020/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/POR_NORTE/SFRH%2FBD%2F145467%2F2019/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/CEEC IND 2018/CEECIND%2F00831%2F2018%2FCP1578%2FCT0001/PT | |
| oaire.citation.endPage | 28 | pt_PT |
| oaire.citation.issue | 5 | pt_PT |
| oaire.citation.startPage | 1 | pt_PT |
| oaire.citation.title | Pharmaceuticals | pt_PT |
| oaire.citation.volume | 17 | pt_PT |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.fundingStream | POR_NORTE | |
| oaire.fundingStream | CEEC IND 2018 | |
| person.familyName | Fernandes | |
| person.familyName | Carocho | |
| person.familyName | Finimundy | |
| person.familyName | Prieto Lage | |
| person.familyName | Ferreira | |
| person.familyName | Barros | |
| person.familyName | Heleno | |
| person.givenName | Filipa Alexandra | |
| person.givenName | Márcio | |
| person.givenName | Tiane C. | |
| person.givenName | Miguel A. | |
| person.givenName | Isabel C.F.R. | |
| person.givenName | Lillian | |
| person.givenName | Sandrina A. | |
| person.identifier | 107688 | |
| person.identifier | awbWiiMAAAAJ&hl | |
| person.identifier | 607720 | |
| person.identifier | 144781 | |
| person.identifier | 469085 | |
| person.identifier.ciencia-id | 2A1F-9985-F38B | |
| person.identifier.ciencia-id | 5614-005B-5CF1 | |
| person.identifier.ciencia-id | 2F18-67B1-776A | |
| person.identifier.ciencia-id | 221E-1E00-AB74 | |
| person.identifier.ciencia-id | 9418-CF95-9919 | |
| person.identifier.ciencia-id | 9616-35CB-D001 | |
| person.identifier.ciencia-id | 8B18-3095-6FC9 | |
| person.identifier.orcid | 0000-0001-6807-1137 | |
| person.identifier.orcid | 0000-0002-8978-4547 | |
| person.identifier.orcid | 0000-0003-3516-0795 | |
| person.identifier.orcid | 0000-0002-3513-0054 | |
| person.identifier.orcid | 0000-0003-4910-4882 | |
| person.identifier.orcid | 0000-0002-9050-5189 | |
| person.identifier.orcid | 0000-0001-7224-1098 | |
| person.identifier.rid | A-8045-2019 | |
| person.identifier.rid | G-4516-2011 | |
| person.identifier.rid | E-8500-2013 | |
| person.identifier.rid | J-3600-2013 | |
| person.identifier.rid | L-5951-2014 | |
| person.identifier.scopus-author-id | 35937495700 | |
| person.identifier.scopus-author-id | 52463229800 | |
| person.identifier.scopus-author-id | 57207755963 | |
| person.identifier.scopus-author-id | 36868826600 | |
| person.identifier.scopus-author-id | 35236343600 | |
| person.identifier.scopus-author-id | 30067731800 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | article | pt_PT |
| relation.isAuthorOfPublication | 95f2a15c-591c-44b9-bcc3-dfdf49c6af26 | |
| relation.isAuthorOfPublication | 46b39e1f-2674-4be1-a96a-c2e5792e6979 | |
| relation.isAuthorOfPublication | 4f8767d4-4e62-4550-9b35-740cb2f672da | |
| relation.isAuthorOfPublication | 13260615-fd28-4b8b-9dd4-8a8466007579 | |
| relation.isAuthorOfPublication | bd0d1537-2e03-41fb-b27a-140af9c35db8 | |
| relation.isAuthorOfPublication | 3af07ffe-f914-48ba-a5d5-efcf70fdce01 | |
| relation.isAuthorOfPublication | e89b5bf5-d315-49b6-871e-fa8eb6030676 | |
| relation.isAuthorOfPublication.latestForDiscovery | 95f2a15c-591c-44b9-bcc3-dfdf49c6af26 | |
| relation.isProjectOfPublication | 29718e93-4989-42bb-bcbc-4daff3870b25 | |
| relation.isProjectOfPublication | 0aac8939-28c2-46f4-ab6b-439dba7f9942 | |
| relation.isProjectOfPublication | 6255046e-bc79-4b82-8884-8b52074b4384 | |
| relation.isProjectOfPublication | f8ca2aa7-6e71-472b-8160-162286a054d5 | |
| relation.isProjectOfPublication | 9f7e2fa5-58f8-4914-96f8-f6ccd31dbd9f | |
| relation.isProjectOfPublication.latestForDiscovery | 29718e93-4989-42bb-bcbc-4daff3870b25 |
