<b>Statistical evaluation of models for sorption and desorption isotherms for barleys

  • Moema Ritter Cruz Universidade Federal do Paraná
  • Anderson Dias Canteli Universidade Federal do Paraná
  • Fernando Augusto Pedersen Voll Universidade Federal do Paraná
  • Luana Carolina Bosmuler Zuge Universidade Federal do Paraná http://orcid.org/0000-0003-4539-8887
  • Agnes de Paula Scheer Universidade Federal do Paraná
Keywords: Akaike information criterion, equilibrium moisture content, mathematical models, barley cultivar.

Abstract

 

This study presents a novel approach to evaluate water sorption and desorption isotherm modeling consisting in statistical evaluation of the fit followed by the ranking of the models. Water sorption and desorption isotherms for BRS Elis and BRS Cauê barley cultivars were evaluated at 40, 50, and 60°C. Data were analyzed by the GAB, Freundlich, Halsey, Henderson, Langmuir, Oswin, and Smith models. The BET model was also fitted to determine the moisture content. All models were submitted to five tests to determine whether the model was statistically significant. Then, the models were ranked using corrected Akaike information criterion. At all temperatures, the equilibrium moisture content increases as water activity increases and temperature decreases. Data showed no hysteresis in both cultivars. The statistical parameters evaluated indicate the goodness of the fit for all models except for the GAB model for BRS Elis cultivar at 60°C. The analysis with the corrected Akaike information criterion revealed that the Oswin and Henderson models showed best results at 40 and 50°C for both cultivars studied. At 60°C, the Freundlich model was the best for both cultivars. For both cultivars, the value of isosteric heat decreases with an increase in moisture content.

 

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Published
2018-09-01
How to Cite
Cruz, M. R., Canteli, A. D., Voll, F. A. P., Zuge, L. C. B., & Scheer, A. de P. (2018). <b&gt;Statistical evaluation of models for sorption and desorption isotherms for barleys. Acta Scientiarum. Technology, 40(1), e37689. https://doi.org/10.4025/actascitechnol.v40i1.37689
Section
Chemical Engineering

 

0.8
2019CiteScore
 
 
36th percentile
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0.8
2019CiteScore
 
 
36th percentile
Powered by  Scopus