dc.creatorPuente Díaz, Luis
dc.creatorAh-Hen, Khong
dc.creatorVega Gálvez, Antonio
dc.creatorLemus Mondaca, Roberto
dc.creatorDi Scala, Karina Cecilia
dc.date.accessioned2017-09-26T16:57:07Z
dc.date.accessioned2018-11-06T14:59:11Z
dc.date.available2017-09-26T16:57:07Z
dc.date.available2018-11-06T14:59:11Z
dc.date.created2017-09-26T16:57:07Z
dc.date.issued2013-02
dc.identifierPuente Díaz, Luis; Ah-Hen, Khong; Vega Gálvez, Antonio; Lemus Mondaca, Roberto; Di Scala, Karina Cecilia; Combined Infrared-Convective Drying of Murta (Ugni molinae Turcz) Berries: Kinetic Modeling and Quality Assessment; Taylor & Francis; Drying Technology; 31; 3; 2-2013; 329-338
dc.identifier0737-3937
dc.identifierhttp://hdl.handle.net/11336/25126
dc.identifierCONICET Digital
dc.identifierCONICET
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1892475
dc.description.abstractMurta (Ugni molinae Turcz) berries were dried under convective and combined convective-infrared conditions at 40, 50 and 60°C and 400-800 W in order to determine the drying characteristics and to compare the dried product's quality. To model the drying kinetics, seven mathematical equations were fitted to experimental data. According to statistical tests performed, the Midilli-Kuçuk model best fitted experimental data and was closely followed by the logarithmic model. Effective moisture diffusivity also showed dependency on drying conditions and varied between 7.59 × 10-10 to 44.18 × 10-10 m2/s and 11.34 × 10-10 to 85.41 × 10-10 m2/s for air-convective drying and combined infrared-convective drying. As to quality attributes of the berries, total surface color difference (ΔE) and total phenolic content (TPC) were determined. It was found that chromaticity coefficients a* and b* changed significantly, showing ΔE to be dependent on the mode of heat supply. TPC under all drying conditions decreased and was significantly different from the initial value in fresh samples. However, at a constant drying temperature, an increase in infrared power enhanced retention of TPC in samples. In particular, working at 40°C/800 W resulted in dried samples with the highest TPC. © 2013 Copyright Taylor and Francis Group, LLC.
dc.languageeng
dc.publisherTaylor & Francis
dc.relationinfo:eu-repo/semantics/altIdentifier/url/http://www.tandfonline.com/doi/abs/10.1080/07373937.2012.736113
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1080/07373937.2012.736113
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subjectDrying kinetics modeling
dc.subjectInfrared drying
dc.subjectMurta berries
dc.subjectQuality of dried fruit
dc.titleCombined Infrared-Convective Drying of Murta (Ugni molinae Turcz) Berries: Kinetic Modeling and Quality Assessment
dc.typeArtículos de revistas
dc.typeArtículos de revistas
dc.typeArtículos de revistas


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