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dc.contributor.author
Puente Díaz, Luis  
dc.contributor.author
Ah-Hen, Khong  
dc.contributor.author
Vega Gálvez, Antonio  
dc.contributor.author
Lemus Mondaca, Roberto  
dc.contributor.author
Di Scala, Karina Cecilia  
dc.date.available
2017-09-26T16:57:07Z  
dc.date.issued
2013-02  
dc.identifier.citation
Puente 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.identifier.issn
0737-3937  
dc.identifier.uri
http://hdl.handle.net/11336/25126  
dc.description.abstract
Murta (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.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Taylor & Francis  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Drying Kinetics Modeling  
dc.subject
Infrared Drying  
dc.subject
Murta Berries  
dc.subject
Quality of Dried Fruit  
dc.subject.classification
Alimentos y Bebidas  
dc.subject.classification
Otras Ingenierías y Tecnologías  
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS  
dc.title
Combined Infrared-Convective Drying of Murta (Ugni molinae Turcz) Berries: Kinetic Modeling and Quality Assessment  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2017-09-21T18:00:23Z  
dc.journal.volume
31  
dc.journal.number
3  
dc.journal.pagination
329-338  
dc.journal.pais
Reino Unido  
dc.journal.ciudad
Londres  
dc.description.fil
Fil: Puente Díaz, Luis. Universidad de Chile; Chile  
dc.description.fil
Fil: Ah-Hen, Khong. Universidad Austral de Chile; Chile  
dc.description.fil
Fil: Vega Gálvez, Antonio. Universidad de la Serena; Chile  
dc.description.fil
Fil: Lemus Mondaca, Roberto. Universidad de la Serena; Chile. Universidad de Santiago de Chile; Chile  
dc.description.fil
Fil: Di Scala, Karina Cecilia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina. Universidad Nacional de Mar del Plata; Argentina  
dc.journal.title
Drying Technology  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.tandfonline.com/doi/abs/10.1080/07373937.2012.736113  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1080/07373937.2012.736113