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dc.creatorMarković, Miljana S.
dc.creatorMilojević, Svetomir
dc.creatorBošković-Vragolović, Nevenka
dc.creatorPavićević, Vladimir
dc.creatorBabincev, Ljiljana M.
dc.creatorVeljković, Vlada B.
dc.date.accessioned2021-03-10T14:07:00Z
dc.date.available2021-03-10T14:07:00Z
dc.date.issued2019
dc.identifier.issn1004-9541
dc.identifier.urihttp://TechnoRep.tmf.bg.ac.rs/handle/123456789/4252
dc.description.abstractThe main objective of the present study was to model the kinetics of essential oil extraction from swelled ground juniper berries by classic hydrodistillation (HD) and microwave-assisted hydrodistillation (MAHD). A new phenomenological kinetic model was developed on the basis of the juniper essential oil extraction mechanism that assumed three mass transfer processes occurring simultaneously: washing, unhindered diffusion and hindered diffusion. The new model was compared to the existing kinetic models. Among the tested models, the new model had the smallest mean relative percentage deviation and the highest corrected Akaike information criterion value. In addition, that, the new model was verified for HD and MAHD of essential oils from some other plant materials. On the basis of the above-mentioned facts, the new model can be recommended for modeling the kinetics of essential oil extraction by both HD and MAHD.en
dc.publisherChemical Industry Press, Beijing
dc.relation.isversionofhttp://technorep.tmf.bg.ac.rs/handle/123456789/5031
dc.rightsrestrictedAccess
dc.sourceChinese Journal of Chemical Engineering
dc.subjectJuniperus communis L.en
dc.subjectEssential oilen
dc.subjectKineticsen
dc.subjectMicrowave-assisted hydrodistillationen
dc.subjectModelingen
dc.titleA new kinetic model for the common juniper essenstial oil extraction by microwave hydrodistillationen
dc.typearticle
dc.rights.licenseARR
dc.citation.epage612
dc.citation.issue3
dc.citation.other27(3): 605-612
dc.citation.rankM22
dc.citation.spage605
dc.citation.volume27
dc.description.otherPeer-reviewed manuscript: [http://technorep.tmf.bg.ac.rs/handle/123456789/5031]
dc.identifier.doi10.1016/j.cjche.2018.06.022
dc.identifier.scopus2-s2.0-85050996726
dc.identifier.wos000465111100014
dc.type.versionpublishedVersion


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