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Artículo

Effect of shrinkage on prediction accuracy of the water diffusion model for pineapple drying

Ramallo, Laura Ana; Mascheroni, Rodolfo HoracioIcon
Fecha de publicación: 02/2013
Editorial: Wiley Blackwell Publishing, Inc
Revista: Journal Of Food Process Engineering
e-ISSN: 1745-4530
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:
Otras Ingeniería Química

Resumen

Drying kinetics of pineapple slabs was analyzed. Fruits were cut into 6-mm-thick slices and dried in a convective cross flow dryer at constant air velocity (1.5 m/s) and temperature (45, 60 or 75C). Two simple diffusional models were applied for modeling the mass transfer during pineapple drying. In the first model, fruit shrinkage was ignored and the analytical solution was applied. In the second model, the premise of variable shrinkage with moisture content was assumed, and the mass transfer equations were solved through a finite differences scheme. In addition, an empirical model of drying rate was found. The average error of moisture estimation was lower for the model with shrinkage. Moisture diffusivity values increased with temperature and decreased when shrinkage was taken into account. Results also showed that fruit shrinkage can be represented by a linear function of moisture content and that volume variation was independent of drying temperature.
Palabras clave: Diffusional Model , Mass Transfer , Pineapple , Drying
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info:eu-repo/semantics/openAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/10027
URL: http://dx.doi.org/10.1111/j.1745-4530.2011.00654.x
Colecciones
Articulos(CIDCA)
Articulos de CENTRO DE INV EN CRIOTECNOLOGIA DE ALIMENTOS (I)
Citación
Ramallo, Laura Ana; Mascheroni, Rodolfo Horacio; Effect of shrinkage on prediction accuracy of the water diffusion model for pineapple drying; Wiley Blackwell Publishing, Inc; Journal Of Food Process Engineering; 36; 1; 2-2013; 66-76
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