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Numerical Simulation of Variable Water Diffusivity during Drying of Peeled and Unpeeled Tomato

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dc.contributor.author Xanthopoulos, G en
dc.contributor.author Yanniotis, S en
dc.contributor.author Boudouvis, AG en
dc.date.accessioned 2014-03-01T11:47:06Z
dc.date.available 2014-03-01T11:47:06Z
dc.date.issued 2012 en
dc.identifier.issn 00221147 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/38085
dc.subject Nonlinear water diffusion en
dc.subject Numerical simulation en
dc.subject Peeling effect en
dc.subject Tomato air-drying en
dc.title Numerical Simulation of Variable Water Diffusivity during Drying of Peeled and Unpeeled Tomato en
heal.type other en
heal.identifier.primary 10.1111/j.1750-3841.2012.02908.x en
heal.identifier.secondary http://dx.doi.org/10.1111/j.1750-3841.2012.02908.x en
heal.publicationDate 2012 en
heal.abstract A mathematical model was formulated for the estimation, in conjunction with experimental measurements, of water diffusivity parameters during convective drying of peeled and unpeeled tomatoes. Fick's 2nd law of diffusion was solved numerically for a sphere, by explicit finite differences, considering shrinkage effect, variable diffusivity, and constant boundary conditions. Experiments were performed in a laboratory tunnel dryer. The equivalent radius of tomato decreased by 50% until the end of the process, which explains the necessity for shrinkage inclusion in the mass transfer model. The mean estimated diffusivities varied between 2.03 × 10-10 and 15.1 × 10-10 m2/s for peeled tomatoes and 0.59 × 10-10 and 15.2 × 10-10 m2/s for unpeeled tomatoes. The estimated water diffusivities and their variation with the tested drying temperatures (45, 55, and 65 °C) provide an insight of peeling effect during air-drying. Peeling was beneficial since yielded greater drying rates and shortened significantly drying times, thus saving energy during drying. In all the studied cases, good agreement was found between experimental and predicted drying curves (≥ 0.99, mean relative deviation [MRD]≤ 0.12, and root mean square error [RMSE]≤ 0.03). In overall, the proposed methodology provides a reliable and easy estimation of temperature and moisture-dependent mass transfer properties and drying simulation of shrinkable food products such as tomato. © 2012 Institute of Food Technologists®. en
heal.journalName Journal of Food Science en
dc.identifier.doi 10.1111/j.1750-3841.2012.02908.x en


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