The use of a diffusional model in determining the permeability of corn pericarp
Fick's diffusional model was used to fit drying curves of corn kernel in which the endosperm and germ were modeled as a homogeneous sphere with the pericarp being part of the external mass transfer resistance. Drying curves of whole and dehulled kernels were determined at 50°C and 60°C together...
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todo:paper_02608774_v12_n1_p53_Tolaba2023-10-03T15:11:57Z The use of a diffusional model in determining the permeability of corn pericarp Tolaba, M.P. Suarez, C. Viollaz, P.E. Diffusion--Mathematical Models Drying--Mathematical Models Moisture Corn Kernels Corn Pericarp Permeability Determination Food Products Fick's diffusional model was used to fit drying curves of corn kernel in which the endosperm and germ were modeled as a homogeneous sphere with the pericarp being part of the external mass transfer resistance. Drying curves of whole and dehulled kernels were determined at 50°C and 60°C together with the equilibrium moisture contents at the respective temperatures. Diffusion coefficients for the corn kernel without pericarp and for the pericarp alone were determined by fitting the experimental drying curves to the diffusional model. It was found that moisture diffuses about eight times faster through the endosperm and germ than through the pericarp. The permeabilities of the pericarp at 50°C and 60°C were 1·8 × 10-7 and 1·6 × 10-7 g cm/cm2 atm s, respectively. © 1990. Fil:Tolaba, M.P. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_02608774_v12_n1_p53_Tolaba |
institution |
Universidad de Buenos Aires |
institution_str |
I-28 |
repository_str |
R-134 |
collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
topic |
Diffusion--Mathematical Models Drying--Mathematical Models Moisture Corn Kernels Corn Pericarp Permeability Determination Food Products |
spellingShingle |
Diffusion--Mathematical Models Drying--Mathematical Models Moisture Corn Kernels Corn Pericarp Permeability Determination Food Products Tolaba, M.P. Suarez, C. Viollaz, P.E. The use of a diffusional model in determining the permeability of corn pericarp |
topic_facet |
Diffusion--Mathematical Models Drying--Mathematical Models Moisture Corn Kernels Corn Pericarp Permeability Determination Food Products |
description |
Fick's diffusional model was used to fit drying curves of corn kernel in which the endosperm and germ were modeled as a homogeneous sphere with the pericarp being part of the external mass transfer resistance. Drying curves of whole and dehulled kernels were determined at 50°C and 60°C together with the equilibrium moisture contents at the respective temperatures. Diffusion coefficients for the corn kernel without pericarp and for the pericarp alone were determined by fitting the experimental drying curves to the diffusional model. It was found that moisture diffuses about eight times faster through the endosperm and germ than through the pericarp. The permeabilities of the pericarp at 50°C and 60°C were 1·8 × 10-7 and 1·6 × 10-7 g cm/cm2 atm s, respectively. © 1990. |
format |
JOUR |
author |
Tolaba, M.P. Suarez, C. Viollaz, P.E. |
author_facet |
Tolaba, M.P. Suarez, C. Viollaz, P.E. |
author_sort |
Tolaba, M.P. |
title |
The use of a diffusional model in determining the permeability of corn pericarp |
title_short |
The use of a diffusional model in determining the permeability of corn pericarp |
title_full |
The use of a diffusional model in determining the permeability of corn pericarp |
title_fullStr |
The use of a diffusional model in determining the permeability of corn pericarp |
title_full_unstemmed |
The use of a diffusional model in determining the permeability of corn pericarp |
title_sort |
use of a diffusional model in determining the permeability of corn pericarp |
url |
http://hdl.handle.net/20.500.12110/paper_02608774_v12_n1_p53_Tolaba |
work_keys_str_mv |
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_version_ |
1807317057401782272 |