Modeling thin layer drying-roasting kinetics of soaked quinoa : Coupled mass and energy transfer

Autores
Torrez Irigoyen, Ricardo Martín; Giner, Sergio Adrián
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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 ºC 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 ºC-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 x 10-4m2 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.
Facultad de Ciencias Exactas
Centro de Investigación y Desarrollo en Criotecnología de Alimentos
Facultad de Ingeniería
Materia
Ciencias Exactas
Ingeniería
quinoa
drying-roasting
optimization
fluidisation
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/108922

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spelling Modeling thin layer drying-roasting kinetics of soaked quinoa : Coupled mass and energy transferTorrez Irigoyen, Ricardo MartínGiner, Sergio AdriánCiencias ExactasIngenieríaquinoadrying-roastingoptimizationfluidisationQuinoa 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 ºC and air velocity of 0.8 m s<sup>-1</sup>. 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<sup>-2</sup> ºC<sup>-1</sup>. 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 E<sub>a</sub> = 39.9 kJ mol<sup>-1</sup> and, D<sub>0</sub> = 2.872 x 10<sup>-4</sup>m<sup>2</sup> s<sup>-1</sup>, 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.Facultad de Ciencias ExactasCentro de Investigación y Desarrollo en Criotecnología de AlimentosFacultad de Ingeniería2017info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf99-108http://sedici.unlp.edu.ar/handle/10915/108922enginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S1537511016303919info:eu-repo/semantics/altIdentifier/issn/1537-5110info:eu-repo/semantics/altIdentifier/doi/10.1016/j.biosystemseng.2017.03.003info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-15T11:16:32Zoai:sedici.unlp.edu.ar:10915/108922Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-15 11:16:33.553SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Modeling thin layer drying-roasting kinetics of soaked quinoa : Coupled mass and energy transfer
title Modeling thin layer drying-roasting kinetics of soaked quinoa : Coupled mass and energy transfer
spellingShingle Modeling thin layer drying-roasting kinetics of soaked quinoa : Coupled mass and energy transfer
Torrez Irigoyen, Ricardo Martín
Ciencias Exactas
Ingeniería
quinoa
drying-roasting
optimization
fluidisation
title_short Modeling thin layer drying-roasting kinetics of soaked quinoa : Coupled mass and energy transfer
title_full Modeling thin layer drying-roasting kinetics of soaked quinoa : Coupled mass and energy transfer
title_fullStr Modeling thin layer drying-roasting kinetics of soaked quinoa : Coupled mass and energy transfer
title_full_unstemmed Modeling thin layer drying-roasting kinetics of soaked quinoa : Coupled mass and energy transfer
title_sort Modeling thin layer drying-roasting kinetics of soaked quinoa : Coupled mass and energy transfer
dc.creator.none.fl_str_mv Torrez Irigoyen, Ricardo Martín
Giner, Sergio Adrián
author Torrez Irigoyen, Ricardo Martín
author_facet Torrez Irigoyen, Ricardo Martín
Giner, Sergio Adrián
author_role author
author2 Giner, Sergio Adrián
author2_role author
dc.subject.none.fl_str_mv Ciencias Exactas
Ingeniería
quinoa
drying-roasting
optimization
fluidisation
topic Ciencias Exactas
Ingeniería
quinoa
drying-roasting
optimization
fluidisation
dc.description.none.fl_txt_mv 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 ºC and air velocity of 0.8 m s<sup>-1</sup>. 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<sup>-2</sup> ºC<sup>-1</sup>. 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 E<sub>a</sub> = 39.9 kJ mol<sup>-1</sup> and, D<sub>0</sub> = 2.872 x 10<sup>-4</sup>m<sup>2</sup> s<sup>-1</sup>, 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.
Facultad de Ciencias Exactas
Centro de Investigación y Desarrollo en Criotecnología de Alimentos
Facultad de Ingeniería
description 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 ºC and air velocity of 0.8 m s<sup>-1</sup>. 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<sup>-2</sup> ºC<sup>-1</sup>. 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 E<sub>a</sub> = 39.9 kJ mol<sup>-1</sup> and, D<sub>0</sub> = 2.872 x 10<sup>-4</sup>m<sup>2</sup> s<sup>-1</sup>, 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.
publishDate 2017
dc.date.none.fl_str_mv 2017
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Articulo
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info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/108922
url http://sedici.unlp.edu.ar/handle/10915/108922
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S1537511016303919
info:eu-repo/semantics/altIdentifier/issn/1537-5110
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.biosystemseng.2017.03.003
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
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repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
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