Please use this identifier to cite or link to this item: https://research.matf.bg.ac.rs/handle/123456789/925
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dc.contributor.authorNEDIĆ, Nebojša M.en_US
dc.contributor.authorGOJAK, Milan D.en_US
dc.contributor.authorZLATANOVIĆ, Ivan J.en_US
dc.contributor.authorRUDONJA, Nedžad R.en_US
dc.contributor.authorLAZAREVIĆ, Kristina B.en_US
dc.contributor.authorDražić, Milanen_US
dc.contributor.authorGLIGOREVIĆ, Kosta Ben_US
dc.contributor.authorPAJIĆ, Miloš B.en_US
dc.date.accessioned2022-08-16T11:02:03Z-
dc.date.available2022-08-16T11:02:03Z-
dc.date.issued2020-01-01-
dc.identifier.issn03549836en
dc.identifier.urihttps://research.matf.bg.ac.rs/handle/123456789/925-
dc.description.abstractThe aim of this research is to study the drying kinetics of vacuum-dried and freeze-dried bee honey produced from two different varieties: Sunflower honey (Helianthus Annuus L.) and Acacia honey (Robinia pseudo acacia L.). Vacuum drying treatments were carried out with the honey samples’ initial temperatures of +25 °C, –20 °C, and –40 °C. Water content, total soluble solids, as well as the water activity of fresh and dried honey samples were determined. Freeze-drying of bee honey with initial sample temperature of –40°C has resulted in shorter drying time (7-9 hours), moisture content (10%-12%), water activity (0.405-0.427 aW) and effective moisture diffusivity coefficient (8.26·10–7-9.51·10-7 m2/s). The high-performance liquid chromatography method was used when analyzing the impact that drying pre-treatments had on honey quality. The application of pre-treatments has led to an increase in hydroxy-methyl-furfural by 39-71%, and a decrease in diastase activity by 17-36%, all compared to fresh honey samples. The solutions of Verma model proved to be the best fit with the experimental results.en_US
dc.relation.ispartofThermal Scienceen
dc.subjectbee honeyen_US
dc.subjectdrying kineticsen_US
dc.subjectfreeze dryingen_US
dc.subjectquality parametersen_US
dc.subjectvacuum dryingen_US
dc.titleStudy of vacuum and freeze drying of bee honeyen_US
dc.typeArticleen_US
dc.identifier.doi10.2298/TSCI200317194N-
dc.identifier.scopus2-s2.0-85098519857-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85098519857-
dc.contributor.affiliationNumerical Mathematics and Optimizationen_US
dc.relation.firstpage4241en
dc.relation.lastpage4251en
dc.relation.volume24en
dc.relation.issue6 Part Ben
item.fulltextNo Fulltext-
item.openairetypeArticle-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
crisitem.author.deptNumerical Mathematics and Optimization-
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