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Evaluation of a suitable thin layer model for drying of pumpkin under forced air convection


Iroemeha, Onwude Daniel and Hashim, Norhashila and Janius, Rimfiel and Mat Nawi, Nazmi and Abdan, Khalina (2016) Evaluation of a suitable thin layer model for drying of pumpkin under forced air convection. International Food Research Journal, 23 (3). pp. 1173-1181. ISSN 1985-4668; ESSN: 2231-7546


The thin layer drying kinetics of pumpkin slices (Cucurbita moschata) were experimentally investigated in a convective hot air dryer. In order to select the appropriate model for predicting the drying kinetics of pumpkin (Cucurbita moschata), twelve thin layer semi theoretical, theoretical and empirical models, widely used in describing the drying behaviour of agricultural products were fitted to the experimental data. The Page and Two term exponential models showed the best fit under certain drying conditions. The Hii et al. (2009) model, which was adopted from a combination of the Page and Two term models was compared to the other 11 selected thin layer models based on the coefficient of determination (R2) and sum of squares error (SSE). Comparison was made between the experimental and model predicted moisture ratio by non-linear regression analysis. Furthermore, the effect of drying temperature and slice thickness on the best model constants was evaluated. Consequently, the Hii et al. (2009) model showed an excellent fit with the experimental data (R2 > 0.99 and SSE < 0.012) for the drying temperatures of 50, 60, 70 and 80 °C and at different sample thicknesses of 3 mm, 5 mm and 7 mm respectively. Thus, the Hii et al. (2009) model can adequately predict the drying kinetics of pumpkin.

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Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
Publisher: Faculty of Food Science and Technology, Universiti Putra Malaysia
Keywords: Drying kinetics; Fruits and vegetables; Mathematical modelling; Pumpkins; Thin layer drying
Depositing User: Nurul Ainie Mokhtar
Date Deposited: 03 Aug 2016 03:01
Last Modified: 03 Aug 2016 03:01
URI: http://psasir.upm.edu.my/id/eprint/29356
Statistic Details: View Download Statistic

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