Drying kinetics of crushed mass of ‘jambu’: Effective diffusivity and activation energy

Detalhes bibliográficos
Autor(a) principal: Gomes,Francileni P.
Data de Publicação: 2018
Outros Autores: Osvaldo,Resende, Sousa,Elisabete P., Oliveira,Daneil E. C. de, Araújo Neto,Francisco R. de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Brasileira de Engenharia Agrícola e Ambiental (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662018000700499
Resumo: ABSTRACT The aim of this paper was to analyze the drying kinetics, test the Akaike information criterion (AIC) and Schwarz’s Bayesian information criterion (BIC) in the selection of models, determine the effective diffusivity and activation energy of the crushed mass of ‘jambu’ leaves for different conditions of temperature and layer thicknesses. The experiment was carried out at the Food Laboratory of the Brazilian Agricultural Research Corporation (Embrapa) in Macapá-AP. Drying was carried out in air circulation oven with speed of 1.0 m s-1 at various temperatures (60, 70 and 80 ºC) and layer thicknesses (0.005 and 0.010 m). The experimental data were fitted to 11 mathematical models. Coefficient of determination (R2), mean relative error (P), mean estimated error (SE), Chi-square test (χ2), AIC and BIC were the selection criteria for the models. For the effective diffusivity, the Fick’s diffusion model was used considering the flat plate geometry. It was found that Midilli and Logarithmic models showed the best fit to the experimental data of drying kinetics. Effective diffusion coefficient increases with increment in the thickness of the material and with the temperature elevation. Activation energy of the material was of 16.61 kJ mol-1 for the thickness of 0.005 m, and 16.97 kJ mol-1 for the thickness of 0.010 m. AIC and BIC can be additionally included to select models of drying.
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spelling Drying kinetics of crushed mass of ‘jambu’: Effective diffusivity and activation energyvegetableconvective dryingAcmella oleraceaABSTRACT The aim of this paper was to analyze the drying kinetics, test the Akaike information criterion (AIC) and Schwarz’s Bayesian information criterion (BIC) in the selection of models, determine the effective diffusivity and activation energy of the crushed mass of ‘jambu’ leaves for different conditions of temperature and layer thicknesses. The experiment was carried out at the Food Laboratory of the Brazilian Agricultural Research Corporation (Embrapa) in Macapá-AP. Drying was carried out in air circulation oven with speed of 1.0 m s-1 at various temperatures (60, 70 and 80 ºC) and layer thicknesses (0.005 and 0.010 m). The experimental data were fitted to 11 mathematical models. Coefficient of determination (R2), mean relative error (P), mean estimated error (SE), Chi-square test (χ2), AIC and BIC were the selection criteria for the models. For the effective diffusivity, the Fick’s diffusion model was used considering the flat plate geometry. It was found that Midilli and Logarithmic models showed the best fit to the experimental data of drying kinetics. Effective diffusion coefficient increases with increment in the thickness of the material and with the temperature elevation. Activation energy of the material was of 16.61 kJ mol-1 for the thickness of 0.005 m, and 16.97 kJ mol-1 for the thickness of 0.010 m. AIC and BIC can be additionally included to select models of drying.Departamento de Engenharia Agrícola - UFCG2018-07-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662018000700499Revista Brasileira de Engenharia Agrícola e Ambiental v.22 n.7 2018reponame:Revista Brasileira de Engenharia Agrícola e Ambiental (Online)instname:Universidade Federal de Campina Grande (UFCG)instacron:UFCG10.1590/1807-1929/agriambi.v22n7p499-505info:eu-repo/semantics/openAccessGomes,Francileni P.Osvaldo,ResendeSousa,Elisabete P.Oliveira,Daneil E. C. deAraújo Neto,Francisco R. deeng2018-06-28T00:00:00Zoai:scielo:S1415-43662018000700499Revistahttp://www.scielo.br/rbeaaPUBhttps://old.scielo.br/oai/scielo-oai.php||agriambi@agriambi.com.br1807-19291415-4366opendoar:2018-06-28T00:00Revista Brasileira de Engenharia Agrícola e Ambiental (Online) - Universidade Federal de Campina Grande (UFCG)false
dc.title.none.fl_str_mv Drying kinetics of crushed mass of ‘jambu’: Effective diffusivity and activation energy
title Drying kinetics of crushed mass of ‘jambu’: Effective diffusivity and activation energy
spellingShingle Drying kinetics of crushed mass of ‘jambu’: Effective diffusivity and activation energy
Gomes,Francileni P.
vegetable
convective drying
Acmella oleracea
title_short Drying kinetics of crushed mass of ‘jambu’: Effective diffusivity and activation energy
title_full Drying kinetics of crushed mass of ‘jambu’: Effective diffusivity and activation energy
title_fullStr Drying kinetics of crushed mass of ‘jambu’: Effective diffusivity and activation energy
title_full_unstemmed Drying kinetics of crushed mass of ‘jambu’: Effective diffusivity and activation energy
title_sort Drying kinetics of crushed mass of ‘jambu’: Effective diffusivity and activation energy
author Gomes,Francileni P.
author_facet Gomes,Francileni P.
Osvaldo,Resende
Sousa,Elisabete P.
Oliveira,Daneil E. C. de
Araújo Neto,Francisco R. de
author_role author
author2 Osvaldo,Resende
Sousa,Elisabete P.
Oliveira,Daneil E. C. de
Araújo Neto,Francisco R. de
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Gomes,Francileni P.
Osvaldo,Resende
Sousa,Elisabete P.
Oliveira,Daneil E. C. de
Araújo Neto,Francisco R. de
dc.subject.por.fl_str_mv vegetable
convective drying
Acmella oleracea
topic vegetable
convective drying
Acmella oleracea
description ABSTRACT The aim of this paper was to analyze the drying kinetics, test the Akaike information criterion (AIC) and Schwarz’s Bayesian information criterion (BIC) in the selection of models, determine the effective diffusivity and activation energy of the crushed mass of ‘jambu’ leaves for different conditions of temperature and layer thicknesses. The experiment was carried out at the Food Laboratory of the Brazilian Agricultural Research Corporation (Embrapa) in Macapá-AP. Drying was carried out in air circulation oven with speed of 1.0 m s-1 at various temperatures (60, 70 and 80 ºC) and layer thicknesses (0.005 and 0.010 m). The experimental data were fitted to 11 mathematical models. Coefficient of determination (R2), mean relative error (P), mean estimated error (SE), Chi-square test (χ2), AIC and BIC were the selection criteria for the models. For the effective diffusivity, the Fick’s diffusion model was used considering the flat plate geometry. It was found that Midilli and Logarithmic models showed the best fit to the experimental data of drying kinetics. Effective diffusion coefficient increases with increment in the thickness of the material and with the temperature elevation. Activation energy of the material was of 16.61 kJ mol-1 for the thickness of 0.005 m, and 16.97 kJ mol-1 for the thickness of 0.010 m. AIC and BIC can be additionally included to select models of drying.
publishDate 2018
dc.date.none.fl_str_mv 2018-07-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662018000700499
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dc.language.iso.fl_str_mv eng
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dc.relation.none.fl_str_mv 10.1590/1807-1929/agriambi.v22n7p499-505
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dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Departamento de Engenharia Agrícola - UFCG
publisher.none.fl_str_mv Departamento de Engenharia Agrícola - UFCG
dc.source.none.fl_str_mv Revista Brasileira de Engenharia Agrícola e Ambiental v.22 n.7 2018
reponame:Revista Brasileira de Engenharia Agrícola e Ambiental (Online)
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instname_str Universidade Federal de Campina Grande (UFCG)
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reponame_str Revista Brasileira de Engenharia Agrícola e Ambiental (Online)
collection Revista Brasileira de Engenharia Agrícola e Ambiental (Online)
repository.name.fl_str_mv Revista Brasileira de Engenharia Agrícola e Ambiental (Online) - Universidade Federal de Campina Grande (UFCG)
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