Analytical Approach for Predicting Water Loss in Tubers during Convective Drying: A Case Study on Sweet Potato

Salam, Ibrango Abdoul and Honoré, Ouoba Kondia and Abdou-Salam, Ganame and Ladifou, Sawadogo and Désiré, Bama (2025) Analytical Approach for Predicting Water Loss in Tubers during Convective Drying: A Case Study on Sweet Potato. Physical Science International Journal, 29 (1). pp. 36-47. ISSN 2348-0130

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Abstract

In this article, the aim was to develop a method using an analytical approach to determine the reduced water content of sweet potato samples during convective drying. The prediction was made based on a study of the evolution of the drying constant of Newton's model as a function of the size of sweet potato samples at a temperature of 70 ℃.

Chi-square and coefficient of determination were used as indicators of prediction and modeling quality.

The study carried out on sweet potato samples cut into cubic shapes with 0.5, 1, 1.5, 2, 2.5 and 3 cm edges showed that the evolution of the drying kinetic constant is best expressed mathematically as a power with .

Examination of the reliability of the prediction method carried out on samples of cubic-shaped sweet potatoes with an edge of 1.75 cm showed good results and accuracy . The one carried out on spherical; cylindrical; parallelepiped sweet potato samples of characteristic diameter showed that the prediction was more accurate with sweet potato samples cut in the spherical form.

To check whether the results obtained from the analytical approach applied to sweet potato samples could be transposed to other tubers, cassava, yam and taro samples with a 3 cm cube were cut. The comparative study between the experimental and predicted reduced water contents showed that the results obtained by the method on sweet potato were transposable to yam and taro, with good quality indices. On the other hand, for cassava, the predicted results needed adjustment with regard to quality indices.

Item Type: Article
Subjects: e-Archives > Physics and Astronomy
Depositing User: Managing Editor
Date Deposited: 27 Mar 2025 04:36
Last Modified: 27 Mar 2025 04:36
URI: http://studies.sendtopublish.com/id/eprint/2393

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