Publication:
Effect of Hemicellulose as a Coating Material on Water Sorption Thermodynamics of the Microencapsulated Fish Oil and Artificial Neural Network (ANN) Modeling of Isotherms

dc.authorscopusid55797357800
dc.authorscopusid56063351800
dc.authorscopusid12792933400
dc.contributor.authorTatar, F.
dc.contributor.authorA.
dc.contributor.authorKahyaoǧlu, T.
dc.date.accessioned2020-06-21T13:52:59Z
dc.date.available2020-06-21T13:52:59Z
dc.date.issued2014
dc.departmentOndokuz Mayıs Üniversitesien_US
dc.department-temp[Tatar] Feyza, Department of Food Engineering, Ondokuz Mayis Üniversitesi, Samsun, Turkey; [null] null, Department of Food Engineering, Ondokuz Mayis Üniversitesi, Samsun, Turkey; [Kahyaoǧlu] Talip, Department of Food Engineering, Ondokuz Mayis Üniversitesi, Samsun, Turkey, Department of Food Engineering, Yıldız Teknik Üniversitesi, Istanbul, Turkeyen_US
dc.description.abstractIn this study, effect of hemicellulose as a coating material on sorption behavior of the microencapsulated fish oil is presented. For this purpose, water sorption isotherms of the fish oil microcapsules prepared using gum arabic (GA) and gum arabic-hemicellulose (GA-HC) were determined at 10, 25, and 35 °C using the gravimetric technique. The equilibrium moisture content (EMC) data were fitted to several empirical mathematical models, namely Oswin, BET, GAB, and Freundlich equations and the novel artificial neural network (ANN) model. The GA-HC microcapsules had higher EMC values than GA, due to the sugar content of hemicellulose. The EMC of the samples were more accurately predicted by the ANN model than by the empirical models at the entire range of a<inf>w</inf>. Heat of sorption of fish oil microcapsules was then predicted using the data obtained from the ANN model and fitted to the power model (R2 = 0.985–0.978). A linear relation existed between the differential enthalpy and the differential entropy for microcapsules, thus satisfying the enthalpy-entropy compensation theory. © 2014, Springer Science+Business Media New York.en_US
dc.identifier.doi10.1007/s11947-014-1291-0
dc.identifier.endpage2802en_US
dc.identifier.issn1935-5130
dc.identifier.issn1935-5149
dc.identifier.issue10en_US
dc.identifier.scopus2-s2.0-84920249942
dc.identifier.scopusqualityQ1
dc.identifier.startpage2793en_US
dc.identifier.urihttps://doi.org/10.1007/s11947-014-1291-0
dc.identifier.volume7en_US
dc.identifier.wosWOS:000342488200003
dc.identifier.wosqualityQ1
dc.language.isoenen_US
dc.publisherSpringer New York LLC barbara.b.bertram@gsk.comen_US
dc.relation.ispartofFood and Bioprocess Technologyen_US
dc.relation.journalFood and Bioprocess Technologyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectArtificial Neural Networksen_US
dc.subjectFish Oilen_US
dc.subjectHemicelluloseen_US
dc.subjectMicroencapsulationen_US
dc.subjectThermodynamic Propertiesen_US
dc.subjectWater Sorption Isothermen_US
dc.titleEffect of Hemicellulose as a Coating Material on Water Sorption Thermodynamics of the Microencapsulated Fish Oil and Artificial Neural Network (ANN) Modeling of Isothermsen_US
dc.typeArticleen_US
dspace.entity.typePublication

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