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Modeling rice and corn hydration kinetic by Nicolin–Jorge model
Author(s) -
Nicolin Douglas Junior,
Marques Barbara Celuppi,
Balbinoti Thaisa Carvalho Volpe,
Jorge Regina Maria Matos,
Jorge Luiz Mario de Matos
Publication year - 2017
Publication title -
journal of food process engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.507
H-Index - 45
eISSN - 1745-4530
pISSN - 0145-8876
DOI - 10.1111/jfpe.12588
Subject(s) - moisture , kinetics , mass transfer , thermodynamics , absorption (acoustics) , function (biology) , kinetic energy , constant (computer programming) , materials science , biological system , mathematics , computer science , physics , composite material , quantum mechanics , evolutionary biology , biology , programming language
This article presents the application of Nicolin–Jorge model in describing the hydration kinetics of rice and corn grains. The model was validated by hydration data of both grains for different hydration temperatures. The results show a satisfactory adequacy of the model to the data, even applying the data to the cylindrical and planar geometries, since the original model was proposed to describe the soybean hydration kinetics, considered spherical. Even as the parameters fitted for both cases have behaved differently depending on the temperature, the model predicted properly the reach of equilibrium moisture for very long hydration times. Practical applications The approach presented in this article is useful in describing the moisture absorption kinetics by rice and corn grains. The model applied fits satisfactorily the experimental data and is applicable when the hypothesis of constant mass transfer coefficient in moisture absorption is not enough to correctly describe the behavior of the kinetic curve of moisture as a function of time for such grains. The proposed approach is applicable to any project that requires prior knowledge of the moisture profile of the grains. The advantage of the model used is the simplicity of the analytical solution obtained and that the model possesses physical grounds, although the grains are considered to be a lumped parameter system, which is an adequate consideration for practical applications.