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dc.contributor.author
Torrez Irigoyen, Ricardo Martin  
dc.contributor.author
Giner, Sergio Adrian  
dc.date.available
2018-06-25T18:23:11Z  
dc.date.issued
2017-05  
dc.identifier.citation
Torrez Irigoyen, Ricardo Martin; Giner, Sergio Adrian; Modeling thin layer drying-roasting kinetics of soaked quinoa. Coupled mass and energy transfer; Academic Press Inc Elsevier Science; Biosystems Engineering; 157; 5-2017; 99-108  
dc.identifier.issn
1537-5110  
dc.identifier.uri
http://hdl.handle.net/11336/49963  
dc.description.abstract
Quinoa has higher protein content (11–16% m/m) and better amino acid profile than most cereals and represents a valuable resource for healthy nutrition. This work studied the kinetics of mass and energy transfer during fluidised thin layer drying-roasting of soaked and washed quinoa, a treatment suitable for preparing a ready-to-eat food. Curves describing moisture content and temperature behaviour with time were obtained for temperatures of 80, 100, 120, and 140 °C and air velocity of 0.8 m s−1. A coupled mass and energy model was proposed to describe the curves mathematically. The model consisted of a pair of ordinary differential equations (ODEs): a transient macroscopic energy balance equation for heat transfer and either a short or a long dimensionless time mass transfer equation. The model was used to determine the effective diffusion coefficient proposed as an Arrhenius function of temperature by utilising the whole dataset. The heat transfer coefficient was estimated from a correlation reported earlier with values ranging from 164 to 179 W m−2 °C−1. The activation energy and pre-exponential factor were fitted using a combined method involving a numerical integration of the ODE system followed by a parameter optimisation algorithm. Values obtained were Ea = 39.9 kJ mol−1 and, D0 = 2.872 × 10−4 m2 s−1, respectively. Predicted moisture content and temperatures agreed well with experimental values. The present research could be extended to deep fluidised bed models to help optimise existing equipment or design new.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Academic Press Inc Elsevier Science  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/  
dc.subject
Drying-Roasting  
dc.subject
Fluidisation  
dc.subject
Optimization  
dc.subject
Quinoa  
dc.subject.classification
Alimentos y Bebidas  
dc.subject.classification
Otras Ingenierías y Tecnologías  
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS  
dc.title
Modeling thin layer drying-roasting kinetics of soaked quinoa. Coupled mass and energy transfer  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2018-06-25T16:12:16Z  
dc.journal.volume
157  
dc.journal.pagination
99-108  
dc.journal.pais
Estados Unidos  
dc.description.fil
Fil: Torrez Irigoyen, Ricardo Martin. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Centro de Investigación y Desarrollo en Criotecnología de Alimentos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Centro de Investigación y Desarrollo en Criotecnología de Alimentos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Centro de Investigación y Desarrollo en Criotecnología de Alimentos; Argentina  
dc.description.fil
Fil: Giner, Sergio Adrian. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Centro de Investigación y Desarrollo en Criotecnología de Alimentos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Centro de Investigación y Desarrollo en Criotecnología de Alimentos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Centro de Investigación y Desarrollo en Criotecnología de Alimentos; Argentina. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas; Argentina  
dc.journal.title
Biosystems Engineering  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.biosystemseng.2017.03.003  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S1537511016303919