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Optimization of ergosterol extraction from Agaricus blazei Murrill using response surface methodology (RSM)

dc.contributor.authorTaofiq, Oludemi
dc.contributor.authorCorrêa, Rúbia C.G.
dc.contributor.authorBarros, Lillian
dc.contributor.authorPrieto Lage, Miguel A.
dc.contributor.authorBracht, Adelar
dc.contributor.authorPeralta, Rosane M.
dc.contributor.authorGonzález-Paramás, Ana María
dc.contributor.authorBarreiro, M.F.
dc.contributor.authorFerreira, Isabel C.F.R.
dc.date.accessioned2018-11-12T11:15:08Z
dc.date.available2018-11-12T11:15:08Z
dc.date.issued2018
dc.description.abstractDifferent approaches have been utilized to lower environmental impacts of by-products from industrial processes and this involves conversion of biological wastes, agricultural residues and waste streams into high value-added products, thereby delivering positive economic, environmental and scientific impact [1]. Mushroom production has increased recently due to their use as ingredients in preparation of nutraceutical, pharmaceutical and cosmeceutical formulations. During mushrooms sorting, an expressive volume is discarded because they do not fit into commercial standard even though their content in biomolecules is not compromised. RSM was applied to optimize the recovery of ergosterol from the fruiting bodies of Agaricus blazei Murrill by comparing conventional (heat-assisted extraction, HAE) and non-conventional techniques (ultrasound and microwave-assisted extractions, UAE and MAE, respectively). The used response criteria were the quantification of ergosterol by HPLC-UV and the extraction yield (%). The optimum conditions were predicted as 150 min, 81.6 ºC for HAE, 30 min, 400W for UAE, and 25 min, 134.6 ºC, for the MAE system. Considering both responses, MAE (25.44 mg/100 g dw, 21 %); UAE (21.49 mg/100 g dw, 11.03 %) and HAE (18.84 mg/100 g dw, 17.05 %), the MAE system was identified as the best technique followed by UAE and HAE. The values predicted by the model are in close agreement with the experimental observations, proving the validity of the model and the usefulness of the predictions for future scale up. The obtained ergosterol-rich extracts can be applied as bioactive ingredients for pharmaceutical, cosmeceutical and nutraceutical purposes.pt_PT
dc.description.sponsorshipFCT for financial support to CIMO (UID/AGR/00690/2013); European Agricultural Fund for Rural Development (EAFRD), through the Rural Development Program (PDR2020), within the scope of Project MicoCoating (PDR2020-101-031472); Xunta de Galicia for financial support to M.A. Prieto. R.C.G. Correa thanks CAPES Foundation, Ministry of Education, Brazil (CAPES fellow, process number 88881.120010/2016–01), for the financial support provided for her postdoctoral research. Rosane Marina Peralta and Adelar Bracht are recipients of scientific productivity research grants from CNPq (Conselho Nacional de Desenvolvimento Científico e Tecnológico, Brazil.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationTaofiq, Oludemi; Corrêa, Rubia; Barros, Lillian; Prieto, M.A.; Bracht, Adelar; Peralta, Rosane M.; González-Paramás, Ana M.; Barreiro, M.F.; Ferreira, Isabel C.F.R. (2018). Optimization of ergosterol extraction from Agaricus blazei Murrill using response surface methodology (RSM). In XIV Encontro de Química dos Alimentos. Viana do Castelo. ISBN 978-989-98936-9-6pt_PT
dc.identifier.isbn978-989-98936-9-6
dc.identifier.urihttp://hdl.handle.net/10198/18173
dc.language.isoporpt_PT
dc.peerreviewedyespt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectAgaricus blazei Murrillpt_PT
dc.subjectErgosterol extractionpt_PT
dc.titleOptimization of ergosterol extraction from Agaricus blazei Murrill using response surface methodology (RSM)pt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FAGR%2F00690%2F2013/PT
oaire.citation.conferencePlaceViana do Castelo, Portugalpt_PT
oaire.citation.title14º Encontro de Química dos Alimentospt_PT
oaire.fundingStream5876
person.familyNameCorrêa
person.familyNameBarros
person.familyNamePrieto
person.familyNameBarreiro
person.familyNameFerreira
person.givenNameRúbia C.G.
person.givenNameLillian
person.givenNameMiguel A.
person.givenNameFilomena
person.givenNameIsabel C.F.R.
person.identifier469085
person.identifier107688
person.identifier144781
person.identifier.ciencia-id6C1F-2818-CBB5
person.identifier.ciencia-id9616-35CB-D001
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person.identifier.ciencia-id3418-47D5-5746
person.identifier.ciencia-id9418-CF95-9919
person.identifier.orcid0000-0003-0269-4344
person.identifier.orcid0000-0002-9050-5189
person.identifier.orcid0000-0002-3513-0054
person.identifier.orcid0000-0002-6844-333X
person.identifier.orcid0000-0003-4910-4882
person.identifier.ridJ-3600-2013
person.identifier.ridG-4516-2011
person.identifier.ridL-9802-2014
person.identifier.ridE-8500-2013
person.identifier.scopus-author-id37661286600
person.identifier.scopus-author-id35236343600
person.identifier.scopus-author-id35937495700
person.identifier.scopus-author-id57188719717
person.identifier.scopus-author-id36868826600
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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