Critical Analysis of the Use of Semiempirical Models on the Dehydration of Thin-Layer Foods Based on Two Study Cases

ABSTRACT: Moisture transport during food drying can be phenomenologically described by Fick’s second law and by the so-called anomalous diffusion model. However, in the literature, many studies have shown the extensive use of empirical/semiempirical models (EMs/SEMs) to adjust experimental data for...

Full description

Autores:
Vega Castro, Oscar Alfonso
Osorio Arias, Juan Camilo
Duarte Correa, Yudy Stella
Jaques, Aldonza
Ramírez, Ristian
Núñez, Helena
Simpson, Ricardo
Tipo de recurso:
Article of investigation
Fecha de publicación:
2023
Institución:
Universidad de Antioquia
Repositorio:
Repositorio UdeA
Idioma:
eng
OAI Identifier:
oai:bibliotecadigital.udea.edu.co:10495/33566
Acceso en línea:
https://hdl.handle.net/10495/33566
Palabra clave:
Conservación de Alimentos
Food Preservation
Secado por aire caliente
Hot air drying
http://aims.fao.org/aos/agrovoc/c_25799
Rights
openAccess
License
http://creativecommons.org/licenses/by-sa/2.5/co/
Description
Summary:ABSTRACT: Moisture transport during food drying can be phenomenologically described by Fick’s second law and by the so-called anomalous diffusion model. However, in the literature, many studies have shown the extensive use of empirical/semiempirical models (EMs/SEMs) to adjust experimental data for the drying of thin-layer foods. This research aims to perform a critical analysis of the most commonly used EMs/SEMs and compare them with Fick’s second law and an anomalous diffusion model using two different sets of hot-air drying data. Two waste byproducts from the food industry, spent coffee grounds and passion fruit peels, were selected for analysis. The selected EMs/SEMs were found to be mathematically interrelated (i.e., some are a subset of others), and their appropriateness was incorrectly justified mainly by their statistical goodness-of-fit. As shown, it is highly recommended that researchers start analyzing drying data with phenomenological models. The extensive use of EMs and SEMs can be replaced by the anomalous diffusion model, which has a high capacity to adjust empirical data and a sound phenomenological description of the process.