Literature DB >> 31686692

Reaction-diffusion approach to modeling water diffusion in glutinous rice flour particles during dynamic vapor adsorption.

Xuewei Zhao1,2,3, Wangming Li1, Hua Zhang1,2,3, Xingke Li1,2,3, Wen Fan4.   

Abstract

Dynamic vapor sorption (DVS) method is now widely adopted to determine water diffusion properties in food materials using a sheet or bulk particles as test samples. The Fickian second law with an instant equilibrium boundary condition, although commonly used, can not accurately model the water adsorption kinetics during DVS tests. Dynamic water adsorption of glutinous rice flour was measured at 30 °C and eleven relative humidity steps, and modeled using the Fickian second law with three kinds of boundary condition. Results indicated that the boundary conditions had great impacts on the predicted values especially for the initial section in the DVS curves, and that modifying boundary conditions could not improve the fitness of the final section which characterized a continuing slight increase of water concentration. A reaction-diffusion model, which assumes two diffusible water populations and describes water transport as a competition between diffusion and reversible adsorption on solid matrix, was developed and found to be able to capture the features of water diffusion in the whole adsorption duration. Implementation of the reaction-diffusion approach to glutinous rice flour indicated that diffusion of the Langmuir water became very slow when its adsorption reached equilibrium, while the diffusion of the non-Langmuir water slowed down when water clustering occurred, at the same time the rates of the surface adsorption and bulk adsorption began to decrease. The model developed in this work would help to deepen our mechanistic understanding of water diffusion during a isothermal adsorption. © Association of Food Scientists & Technologists (India) 2019.

Entities:  

Keywords:  Adsorption; Dynamic vapor sorption; Glutinous rice flour; Kinetics; Mass transport; Reaction–diffusion

Year:  2019        PMID: 31686692      PMCID: PMC6801265          DOI: 10.1007/s13197-019-03925-0

Source DB:  PubMed          Journal:  J Food Sci Technol        ISSN: 0022-1155            Impact factor:   2.701


  7 in total

1.  Sorption kinetics and equilibrium uptake for water vapor in soft-contact-lens hydrogels.

Authors:  C Weinmüller; C Langel; F Fornasiero; C J Radke; J M Prausnitz
Journal:  J Biomed Mater Res A       Date:  2006-05       Impact factor: 4.396

2.  Determination of the bulk moisture diffusion coefficient for corn starch using an automated water sorption instrument.

Authors:  Xin Yu; Arthur R Schmidt; Luis A Bello-Perez; Shelly J Schmidt
Journal:  J Agric Food Chem       Date:  2007-12-14       Impact factor: 5.279

3.  Dynamic moisture sorption characteristics of enzyme-resistant recrystallized cassava starch.

Authors:  Christopher Mutungi; Stefan Schuldt; Calvin Onyango; Yvonne Schneider; Doris Jaros; Harald Rohm
Journal:  Biomacromolecules       Date:  2011-01-24       Impact factor: 6.988

4.  Comparative study of particle structure evolution during water sorption: skim and whole milk powders.

Authors:  I Murrieta-Pazos; C Gaiani; L Galet; B Cuq; S Desobry; J Scher
Journal:  Colloids Surf B Biointerfaces       Date:  2011-05-25       Impact factor: 5.268

5.  Advances in modeling sorption and diffusion of moisture in porous reactive materials.

Authors:  Stephen J Harley; Elizabeth A Glascoe; James P Lewicki; Robert S Maxwell
Journal:  Chemphyschem       Date:  2014-05-12       Impact factor: 3.102

6.  The states of water in glutinous rice flour characterized by interpreting desorption isotherm.

Authors:  Xuewei Zhao; Hua Zhang; Ruiqian Duan; Zhiqiang Feng
Journal:  J Food Sci Technol       Date:  2017-03-17       Impact factor: 2.701

7.  Non-additive response of blends of rice and potato starch during heating at intermediate water contents: A differential scanning calorimetry and proton nuclear magnetic resonance study.

Authors:  Geertrui M Bosmans; Bram Pareyt; Jan A Delcour
Journal:  Food Chem       Date:  2015-07-14       Impact factor: 7.514

  7 in total

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