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Optimization of oil recovery from Japonica luna rice bran by supercritical carbon dioxide applying design of experiments: characterization of the oil and mass transfer modeling

dc.contributor.authorCoelho, Jose
dc.contributor.authorRobalo, Maria Paula
dc.contributor.authorFernandes, Inês S.
dc.contributor.authorStateva, Roumiana
dc.date.accessioned2023-02-02T15:24:34Z
dc.date.available2023-02-02T15:24:34Z
dc.date.issued2022-08
dc.description.abstractThis study presents an optimization strategy for recovery of oil from Japonica Luna rice bran using supercritical carbon dioxide (scCO2), based on design of experiments (DoE). Initially, a 24−1 two level fractional factorial design (FFD) was used, and pressure, temperature, and scCO2 flow rate were determined as the significant variables; while the yield, total flavonoids content (TFC), and total polyphenols content (TPC) were the response functions used to analyze the quality of the extracts recovered. Subsequently, central composite design (CCD) was applied to examine the effects of the significant variables on the responses and create quadratic surfaces that optimize the latter. The following values of pressure = 34.35 MPa, temperature = 339.5 K, and scCO2 flow rate = 1.8 × 10−3 kg/min were found to simultaneously optimize the yield (6.83%), TPC (61.28 μmol GAE/g ext), and TFC (1696.8 μmol EC/g ext). The fatty acid profile of the oils was characterized by GC-FID. It was demonstrated that the acids in largest quantities are C16:0 (15–16%), C18:1 (41%), and C18:2 (38–39%). Finally, three mass transfer models were applied to determine the mass transfer coefficients and assess the cumulative extraction curves, with an AAD% of 4.16, for the best model.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationCOELHO, J. P.; FERNANDES, I. S.; ROBALO, M. Paula; STATEVA, R. P. – Optimization of oil recovery from Japonica Luna rice bran by supercritical carbon dioxide applying design of experiments: characterization of the oil and mass transfer modeling. Chemengineering. ISSN 2305-7084. Vol.6, N.º 4 (2022) p. 1-16.pt_PT
dc.identifier.doi10.3390/chemengineering6040063pt_PT
dc.identifier.issn2305-7084
dc.identifier.urihttp://hdl.handle.net/10400.21/15468
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationLA/P/0056/2020pt_PT
dc.relationCentro de Química Estrutural
dc.relation.publisherversionhttps://www.mdpi.com/2305-7084/6/4/63pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectRice bran oilpt_PT
dc.subjectDesign of experiments (DoE)pt_PT
dc.subjectFlavonoid contentpt_PT
dc.subjectPolyphenol contentpt_PT
dc.subjectFatty acidspt_PT
dc.subjectMass transfer modelingpt_PT
dc.titleOptimization of oil recovery from Japonica luna rice bran by supercritical carbon dioxide applying design of experiments: characterization of the oil and mass transfer modelingpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleCentro de Química Estrutural
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00100%2F2020/PT
oaire.citation.endPage16pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleChemengineeringpt_PT
oaire.citation.volume6pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameCoelho
person.familyNameRobalo
person.familyNameStateva
person.givenNameJose
person.givenNameMaria Paula
person.givenNameRoumiana
person.identifierR-000-84M
person.identifier.ciencia-idD716-31DF-8371
person.identifier.ciencia-idE11C-A704-9C18
person.identifier.orcid0000-0001-8118-0864
person.identifier.orcid0000-0002-8200-6910
person.identifier.orcid0000-0002-4834-8183
person.identifier.ridG-2626-2011
person.identifier.ridB-2002-2012
person.identifier.scopus-author-id7101841005
person.identifier.scopus-author-id9269662100
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationec13b922-f442-44fa-bb07-7c2e0bebbe6d
relation.isAuthorOfPublication823a9498-17ab-451f-bb8f-56338643ac0c
relation.isAuthorOfPublicationf29f8912-6df5-4f63-959d-b3998a9a8c28
relation.isAuthorOfPublication.latestForDiscovery823a9498-17ab-451f-bb8f-56338643ac0c
relation.isProjectOfPublication4ca2f791-5aae-48f8-ac70-bde2e34d442a
relation.isProjectOfPublication.latestForDiscovery4ca2f791-5aae-48f8-ac70-bde2e34d442a

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