Volume 18, Issue 119 (2021)                   FSCT 2021, 18(119): 157-168 | Back to browse issues page


XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Dalvi-Isfahan M. Modelling of drying and rehydration of pears using different mathematical models. FSCT 2021; 18 (119) :157-168
URL: http://fsct.modares.ac.ir/article-7-53767-en.html
Assistant professor, Department of Food Science and Technology, Faculty of Agriculture, Jahrom University, Jahrom, Iran. , mohsen.dalvi@gmail.com
Abstract:   (1291 Views)
By controlling dehydration and rehydration conditions, optimal reconstitution properties can be achieved. Therefore, mathematical models that describe the kinetics of moisture removal and moisture uptake are important in designing and optimizing that process. In this study, the drying process of pear slices at 5 different temperatures was investigated and the effective diffusion coefficient of the samples was determined. Drying data were also fitted with 9 mathematical models. The hydration process of the dried samples at 50‌°‌C was also fitted with 4 different models. The results showed that the effective diffusion coefficient has an increasing trend with increasing temperature and its temperature dependence can be described by Arrhenius equation. Among the dehydration models, two models (logarithmic and Weibull) were better than other models in predicting changes in sample moisture during drying and the best model for the rehydration process was Peleg model. In the last step, the temperature dependence of the constants of these equations were fitted with Arrhenius and exponential decay models.
Full-Text [PDF 579 kb]   (514 Downloads)    
Article Type: Original Research | Subject: Canning
Received: 2021/07/2 | Accepted: 2021/08/28 | Published: 2022/01/9

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.