Moisture Content Modeling of Sliced Kiwifruit (cv. Hayward) During Drying

Authors

  • Zahra Emam - Djomeh Department of Food Science and Engineering, Faculty of Bio - Systems Engineering, University of Tehran, Karaj, Iran
  • Alireza Keyhani Department of Agricultural Machinery Engineering, Faculty of Bio - Systems Engineering, University of Tehran, Karaj, Iran
  • Shahin Rafiee Department of Agricultural Machinery Engineering, Faculty of Bio - Systems Engineering, University of Tehran, Karaj, Iran
  • Ali Mohammadi Department of Agricultural Machinery Engineering, Faculty of Bio - Systems Engineering, University of Tehran, Karaj, Iran

DOI:

https://doi.org/10.3923/pjn.2009.78.82

Keywords:

Kiwifruit, midilli model, modeling, thin-layer drying

Abstract

Drying behavior of kiwifruit slice was studied at 40, 50, 60, 70 and 80oC and at a constant air velocity of 1.5 m/s for constant sample thickness of 4 mm in a thin layer dryer. Sample weight, temperature and drying air velocity were measured during drying and drying curves were obtained for each experimental data. The curves were fitted to twelve different semi-theoretical and/or empirical thin-layer drying models to estimate a suitable model for drying of kiwifruit. Coefficients were evaluated by non-linear regression analysis. The models were compared based on their coefficient of determination (EF), root mean square error (RMSE) and reduced chi-square (x2). Midilli model had the highest value of EF (0.999319), the lowest RMSE (0.032536) and x2 (0.001119). The Midilli model was found to satisfactorily describe the drying behavior of kiwifruit.

Downloads

Published

15.12.2008

Issue

Section

Research Article

How to Cite

1.
- Djomeh ZE, Keyhani A, Rafiee S, Mohammadi A. Moisture Content Modeling of Sliced Kiwifruit (cv. Hayward) During Drying. Pak. J. Nutr. [Internet]. 2008 Dec. 15 [cited 2025 Jul. 9];8(1):78–82. Available from: https://pjnonline.org/pjn/article/view/759

Most read articles by the same author(s)

Similar Articles

21-30 of 47

You may also start an advanced similarity search for this article.