<b>Mathematical model of the edible bean soaking process</b> - DOI: 10.4025/actasciagron.v29i3.387

  • Osvaldo Resende UNIR
  • Paulo César Corrêa UFV

Abstract

The aim of this work was to obtain and evaluate the hydration curves of edible bean ( L.) and to adjust Peleg’s model to the experimental values, as well as to determine the diffusion coefficients under several soaking temperatures. The edible beans were 0.18 (d.b.) and they were soaked in distilled water under controlled temperatures of 20, 30, 40 e 50°C. The diffusion coefficient was determined by the analytic solution for the second Fick’s law, considering the geometric spherical form, with and without the expansion of the grain. It was possible to conclude that the rate of absorption of water of edible bean increases with the elevation of the soaking temperature, and the Peleg’s model is capable of representing the kinetics of the phenomenon. The relation between the diffusion coefficient and the temperature may be described by the Arrhenius expression of 6.748 kJ mol-1.

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Author Biography

Osvaldo Resende, UNIR
Possui graduação em Engenharia Agrícola pela Universidade Federal de Lavras (2000), mestrado em Ciências dos Alimentos pela Universidade Federal de Lavras (2003) e doutorado em Engenharia Agrícola pela Universidade Federal de Viçosa (2006). Atualmente é Revisor Técnico da Revista Brasileira de Armazenamento e professor adjunto da Universidade Federal de Rondônia. Tem experiência na área de Engenharia Agrícola, com ênfase em Armazenamento de Produtos Agrícolas, atuando principalmente nos seguintes temas: propriedades físicas, modelagem matemática, armazenamento e secagem de grãos. Atualmente leciona as disciplinas de Mecanização, Construções Rurais e Topografia Currículo Lattes
Published
2007-11-14
How to Cite
Resende, O., & Corrêa, P. C. (2007). <b>Mathematical model of the edible bean soaking process</b&gt; - DOI: 10.4025/actasciagron.v29i3.387. Acta Scientiarum. Agronomy, 29(3), 373-378. https://doi.org/10.4025/actasciagron.v29i3.387
Section
Crop Production

 

2.0
2019CiteScore
 
 
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2.0
2019CiteScore
 
 
60th percentile
Powered by  Scopus