Modeling of thin-layer drying kinetics of kameh (native khashk)

Document Type : Research Article

Authors

1 PhD. Student, Faculty of Food Science & Technology, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran.

2 M. Sc. Student, Faculty of Food Science & Technology, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran.

3 Associate Professor, Faculty of Food Science & Technology, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran.

Abstract

Drying is one of way to increase shelf-life of products. In present paper, the drying behavior of Kameh was evaluated in several of geometric forms of it under hot air dryer based on the three mathematical models; consist of page, HiiLaw-Cloke and Modified Henderson and Pabase. The experimental drying trials were carry out at three temperature levels of 65, 75 and 85 °C for three various geometric forms (typical circular, cylindrical and blade) and with two different thicknesses (1 and 3 cm). The experiments were performed in two replication. Given the experimental data, the drying behavior of Kameh examined and coefficient of each model were found in several of geometric forms. Accuracy of models was appraised by three parameters of R2, RMSE, and SSE. According the results, the effective moisture diffusivity was raised by increasing temperature, thickness, and changing the geometry of the samples to blade form.  Moreover, the fitting of three models revealed that the page model has the best model compared to the others due to the highest R2 and the least RMSE and SSE. The Modeling changes in relative humidity treatments with different models revealed that page model (model 1, Table 2) good best fit (R2=0/99) with the relative humidity values and as the best model was selected for predicting thin-layer drying kinetics of thin kameh under experimental conditions.

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References

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Innovative Food Technologies
Volume 2, Issue 1
December 2014
Pages 3-16

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History

  • Receive Date: 05 February 2014
  • Revise Date: 05 March 2014
  • Accept Date: 23 November 2014

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