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Response surface methodology applied to ultrasound-assisted extraction of raspberry and blueberry pruning residues

dc.contributor.authorPlasencia, Paula
dc.contributor.authorCarocho, Márcio
dc.contributor.authorHeleno, Sandrina A.
dc.contributor.authorFinimundy, Tiane C.
dc.contributor.authorBarreiro, M.F.
dc.contributor.authorGarcía, Pablo A.
dc.contributor.authorBarros, Lillian
dc.date.accessioned2024-02-14T11:01:31Z
dc.date.available2024-02-14T11:01:31Z
dc.date.issued2024
dc.date.updated2024-02-14T10:22:57Z
dc.description.abstractDue to their high nutritional value, berries production has increased, but this inevitably leads to the accumulation of bioresidues. To prevent this, leaves and other aerial components of berry plants can be converted into valuable ingredients for cosmetics applications due to their unique chemical composition and functional properties. Ultrasound-assisted extraction methodology is an efficient technique to obtain these potentially bioactive extracts. The objective of this study was to investigate the optimal conditions to maximize the yield of ultrasound-assisted extractions of pruning residues of Rubus idaeus L. (raspberry) and Vaccinium myrtillus L. (blueberry) using response surface methodology (RSM). Three factors were used in the analysis: solvent ranging from 0% to 100% ethanol:water, time ranging from 5 to 30 minutes and extractive power from 20% to 100% (maximum of 500W). The Box Behnken design was used, relying on 17 individual randomized runs. The response to optimize was the dry weight of the extract (YRB and YBB), which ranged from 22.2 to 202.8 and 123.5 to 394.0 mg/g, respectively. The optimization performed by RSM indicated the optimal extractive point as a function of dry weight at 32.9% of ethanol:water, 15.2 min and 95.7% of extractive power for raspberry; and 63.6% of ethanol:water, 29.5 min, and 72.2% of extractive power regarding blueberry extract. Hydrolyzable tannins were the major phenolic compounds found in raspberry extract, while blueberry extracts showed a higher presence in flavonoids. These results showed that the pruning residue extracts could have a potential application in the cosmetic industry.pt_PT
dc.description.sponsorshipThe authors are grateful to the Foundation for Science and Technology (FCT, Portugal) for financial support through national funds FCT/MCTES (PIDDAC) to CIMO (UIDB/00690/2020 and UIDP/00690/2020) and SusTEC (LA/P/0007/2020). L. Barros and S. Heleno also thanks FCT through the institutional scientific employment program–contract for her contract. This study was financied within the mobilizing project ‘AquaeVitae - Água Termal Como Fonte de Vida e Saúde” - “PROMOVE – O futuro do Interior” call 2020, Fundação BPI La Caixa.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationPlasencia, Paula; Carocho, Márcio; Heleno, Sandrina A.; Finimundy, Tiane C.; Barreiro, M.F.; García, Pablo A.; Barros, Lillian (2024). Response surface methodology applied to ultrasound-assisted extraction of raspberry and blueberry pruning residues. In 2nd International Trainee Symposium in Agri-Food, Nutrition, and Health. Winnipegpt_PT
dc.identifier.slugcv-prod-3768708
dc.identifier.urihttp://hdl.handle.net/10198/29479
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherUniversity of Manitoba'spt_PT
dc.relationMountain Research Center
dc.relationMountain Research Center
dc.relationAssociate Laboratory for Sustainability and Tecnology in Mountain Regions
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectAgri-food byproductspt_PT
dc.subjectPhenolic compoundspt_PT
dc.subjectRSMpt_PT
dc.titleResponse surface methodology applied to ultrasound-assisted extraction of raspberry and blueberry pruning residuespt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleMountain Research Center
oaire.awardTitleMountain Research Center
oaire.awardTitleAssociate Laboratory for Sustainability and Tecnology in Mountain Regions
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00690%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F00690%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0007%2F2020/PT
oaire.citation.title2nd International Trainee Symposium in Agri-Food, Nutrition, and Healthpt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNamePlasencia
person.familyNameCarocho
person.familyNameHeleno
person.familyNameFinimundy
person.familyNameBarreiro
person.familyNameBarros
person.givenNamePaula
person.givenNameMárcio
person.givenNameSandrina A.
person.givenNameTiane C.
person.givenNameFilomena
person.givenNameLillian
person.identifierawbWiiMAAAAJ&hl
person.identifier469085
person.identifier.ciencia-idAE1A-7C6C-7267
person.identifier.ciencia-id5614-005B-5CF1
person.identifier.ciencia-id8B18-3095-6FC9
person.identifier.ciencia-id2F18-67B1-776A
person.identifier.ciencia-id3418-47D5-5746
person.identifier.ciencia-id9616-35CB-D001
person.identifier.orcid0000-0001-5827-8249
person.identifier.orcid0000-0002-8978-4547
person.identifier.orcid0000-0001-7224-1098
person.identifier.orcid0000-0003-3516-0795
person.identifier.orcid0000-0002-6844-333X
person.identifier.orcid0000-0002-9050-5189
person.identifier.ridL-5951-2014
person.identifier.ridL-9802-2014
person.identifier.ridJ-3600-2013
person.identifier.scopus-author-id36888169700
person.identifier.scopus-author-id52463229800
person.identifier.scopus-author-id30067731800
person.identifier.scopus-author-id57188719717
person.identifier.scopus-author-id35236343600
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.cv.cienciaidAE1A-7C6C-7267 | Paula Plasencia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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