Elsevier

Journal of Food Engineering

Volume 47, Issue 2, February 2001, Pages 127-132
Journal of Food Engineering

Theoretical and experimental analysis of the drying kinetics of bananas

https://doi.org/10.1016/S0260-8774(00)00108-4Get rights and content

Abstract

This work reports a theoretical and experimental study on the drying kinetics of bananas, under different air drying conditions. The experimental data of moisture content during drying were treated according to a diffusional model considering constant diffusion coefficient and including successively, through different models, the effects of shrinkage of the fruit and convective mass transfer on its surface. The diffusion and convective coefficients were determined by fitting the model with experimental data, minimising the sum of square residuals, in successive trials. The numerical results, relative to each one of the effects introduced, are compared with experimental data, giving interesting conclusions about the influence of each one of the phenomena considered. The best fitting was obtained when only the convective boundary condition was included in the diffusional model with a constant diffusion coefficient, although this model did not describe the physical phenomena well. Bananas shrink by about 43–47% their original diameter during drying. Therefore, the shrinkage assumption in the model provides greater reliability on the calculated diffusion and convective coefficients.

Introduction

The drying of agricultural products with high initial moisture content, such as fruits and vegetables, always produces a considerable shrinkage effect. This phenomenon must be included in the modelling in order to improve the physical representation of the process and to increase the confidence on the coefficients obtained, such as the diffusion coefficient.

Shrinkage has been treated theoretically in several ways in the literature. For some authors, shrinkage could be considered as directly related to the water volume removed during the process Aregba et al., 1990, Kechaou and Roques, 1989, Vagenas and Marinos-Kouris, 1991a, Balaban, 1989, Mulet et al., 1989. Other authors have proposed a further component to the shrinkage phenomenon during drying besides the volume reduction due to the loss of moisture: the mechanical forces Misra and Young, 1980, Ketelaars et al., 1992. However, the mechanical shrinkage could be neglected if the analysis is focused on drying kinetics (Ketelaars et al., 1992).

Another controversial point of diffusional drying models are the boundary conditions adopted on the material surface. The most common boundary condition used in agricultural products is the first-order condition: assuming that the material surface is in equilibrium with the air drying throughout the process. Probably, this assumption is made due to the difficulty of obtaining the mass transfer convective coefficient for biological products. However, some authors adopt a model that combines the liquid diffusion theory inside the solid, with a convective boundary condition at the material surface (Husain et al., 1973, Misra and Young, 1980, Lamberg, 1989, Kechaou and Roques, 1989, Yapar et al., 1990, Sereno and Medeiros, 1990, Parti and Dugmanics, 1990, Haghighi et al., 1990, Vagenas and Marinos-Kouris, 1991a, Vagenas and Marinos-Kouris, 1991b, Jayas et al., 1991).

Section snippets

Experiment

The drying experiments were conducted in a laboratory convective chamber dryer, built for this work, whose project and construction details were reported by Queiroz and Nebra (1993) and Queiroz (1994). This equipment is provided with a data acquisition system that allowed to control the air drying conditions such as temperature and relative humidity and automatically recorded these parameters and the weight loss data, during the entire process. Fig. 1 shows the drying chamber frontal view. The

Results and discussion

The fittings obtained are illustrated only for one drying test, which is the number 6 in Table 1, but similar results were obtained for all drying conditions investigated.

Fig. 2 shows the moisture content predicted by models 1 and 2 compared with the experimental data. It can be observed that the results of model 1 present systematic deviations from the experimental data, indicating that the considered hypotheses were not enough to completely describe the process. A residual analysis by

Conclusion

The diffusional model with constant diffusion coefficients, equilibrium boundary condition and without shrinkage assumption did not adequately represent the banana drying process.

The best fitting was obtained when only the convective boundary condition was included in the diffusional model with constant diffusion coefficient, although the shrinkage assumption had not been incorporated in it. However, this model could not describe the physical phenomena well.

Bananas shrink by about 43–47% their

Acknowledgements

A sincere acknowledgement to FAPESP (Fundação de Amparo à Pesquisa do Estado de São Paulo) for the financial support of this research.

References (20)

  • A. Husain et al.

    Simultaneous heat and mass diffusion in biological materials

    Journal of Agricultural Engineering Research

    (1973)
  • A.M. Sereno et al.

    Simplified model for the prediction of drying rates for foods

    Journal of Food Engineering

    (1990)
  • G.K. Vagenas et al.

    Finite element simulation of drying of agricultural products with volumetric changes

    Applied Mathematical Modelling

    (1991)
  • W. Aregba et al.

    Une approache du séchage de matériaux fortement déformables

    Revue de Physique Appliquèe

    (1990)
  • M. Balaban

    Effect of volume change in foods on the temperature and moisture content predictions of simultaneous heat and moisture transfer models

    Journal of Food Process Engineering

    (1989)
  • CNNPA–Comissão Nacional de Normas e Padrões para Alimentos, (1985). Resolução 12/78 (12/7 frutas secas ou dessecadas)....
  • K. Haghighi et al.

    Grain kernel drying simulation using the finite element method

    Transactions of the ASAE

    (1990)
  • Hubinger, M.D. (1994). Modelagem, simulação e avaliação energética e exergética de secadores a leito deslizante. Ph.D....
  • D.S. Jayas et al.

    Review of thin layer drying and wetting equations

    Drying Technology

    (1991)
  • Kechaou, N., Roques, M.A. (1989). A variable diffusivity model for drying of highly deformable materials. In A.S....
There are more references available in the full text version of this article.

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    These have an (often negative) impact on product quality and, for food products in particular also on rehydration capacity or sensory properties (e.g. structure, texture, mouthfeel), which determine palatability, consumer acceptance and marketability. Furthermore, these structural changes, which take place at multiple scales, alter the moisture transport properties of the material dynamically during the drying process itself [158,159], and affect thereby the drying kinetics and the resulting drying time. For these reasons, the structural changes to the porous material and their impact on the dehydration process should be included as well when modelling drying processes of soft (biological) material.

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