Mathematical modeling of the onion drying process: Kinetic and Thermodynamic Parameters

• Bruno Giménez-López Universidad Tecnológica del Perú. https://orcid.org/0000-0002-5473-6908
• Cristhian Ronceros Universidad Tecnológica del Perú. https://orcid.org/0000-0001-8421-5217
• Alejandro Quispe Laboratorio de Química Analítica Instrumental, Escuela Profesional de Ingeniería Agroindustrial, Facultad de Ingenierías, Universidad Privada San Juan Bautista, Ica Perú. https://orcid.org/0000-0001-8421-5217
• Rosalio Cusi Universidad Nacional San Luis Gonzaga de Ica, Perú. https://orcid.org/0000-0003-1075-5725
• Manuel Giménez-Medina Laboratorio de Química Analítica Instrumental, Escuela Profesional de Ingeniería Agroindustrial, Facultad de Ingenierías, Universidad Privada San Juan Bautista, Ica Perú. https://orcid.org/0009-0004-3668-6857
• Carmen Cuba Universidad Nacional San Luis Gonzaga de Ica, Perú. https://orcid.org/0000-0003-0859-8361

Keywords: onion dehydration, mathematical models, kinetic parameters, drying efficiency, environmental sustainability

Abstract

The dehydration processes of onions are governed by a series of kinetic and thermodynamic parameters that, when controlled, facilitate the identification of a mathematical model that will improve the efficiency and quality of the drying process in terms of reducing production costs, environmental sustainability, and the development of innovative products. In this study, various mathematical models were validated to accurately describe the drying process, and from them, the kinetic and thermodynamic parameters governing the dehydration processes were determined. For the experimental development, onions grown in the Ica region of Peru were peeled, cut into pieces, and dehydrated (60, 70, and 80 ºC), and five mathematical models were applied to model the drying kinetics of the process. The Midilli model was the best fit for the experimental curves. Increasing the temperature reduced the enthalpy and increased the entropy, Gibbs free energy, and effective diffusion coefficient in both varieties of onions. Determining the drying kinetics has been essential for establishing operating conditions by understanding how temperature, relative humidity, and other parameters affect the moisture removal rate, allowing for the design of optimal equipment and predicting product behavior during the drying process.

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