Thermodynamic model and infrared thermography monitoring system for convective drying of goldenberry (Physalis peruviana)

The goldenberry ( Physalis peruviana ) is a highly perishable Andean fruit with valuable nutritional and functional properties. Its preservation poses a challenge due to its high moisture content. This study presents an integrated method combining infrared thermography (IR) and irreversible thermodynamics to characterize the convective drying process of goldenberry.Samples were dried at 60 °C and 1.0 m/s air velocity. Weight loss, surface temperature, and water activity were recorded over 13 h using thermocouples, precision balances, and IR imaging. An irreversible thermodynamic model was applied to estimate water flux, free energy changes, and chemical potential gradients, including mechanical energy effects. The phenomenological coefficient from Onsager's relation was correlated with water flux to describe internal water migration. IR thermography enabled real-time, non-invasive monitoring of temperature and emissivity, correlating with morphological changes during drying. Sorption isotherms were fitted using the GAB model, and thermodynamic analysis allowed separation of physical and mechanical contributions to water potential. This approach provides a deeper understanding of moisture transport during drying and demonstrates the usefulness of combining IR monitoring with thermodynamic modeling. It offers a promising tool for optimizing drying protocols in high-moisture tropical fruits like goldenberry. • An irreversible thermodynamic model was developed to characterize water flux, and water transport mechanism, during goldenberry drying. • Different physical properties of goldenberry were obtained, such as specific heat, emissivity, water activity and entropy. • The evolution of air properties (energy and moisture) throughout the drying treatment of goldenberry is shown. • Infrared thermography enabled non-invasive, real-time monitoring of surface temperature. • Onsager coefficient correlated with water flux, decoupling physical and mechanical energy in water transport.

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Publication Details

Journal
Journal of Food Engineering
Published
2025-08-08
DOI
https://doi.org/10.1016/j.jfoodeng.2025.112773
Citations
1
Primary Topic
Food Drying and Modeling
Type
article
Field-Weighted Citation Impact
1.16

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article

Thermodynamic model and infrared thermography monitoring system for convective drying of goldenberry (Physalis peruviana)

P. Fito, Tony Chuquizuta, Marta Castro‐Giráldez, W. Castro
1 citations
Journal of Food Engineering
Food Drying and Modeling
1.16
article

Thermodynamic model and infrared thermography monitoring system for convective drying of goldenberry (Physalis peruviana)

P. Fito, Tony Chuquizuta, Marta Castro‐Giráldez, W. Castro
article en
1 citations

Abstract

The goldenberry ( Physalis peruviana ) is a highly perishable Andean fruit with valuable nutritional and functional properties. Its preservation poses a challenge due to its high moisture content. This study presents an integrated method combining infrared thermography (IR) and irreversible thermodynamics to characterize the convective drying process of goldenberry.Samples were dried at 60 °C and 1.0 m/s air velocity. Weight loss, surface temperature, and water activity were recorded over 13 h using thermocouples, precision balances, and IR imaging. An irreversible thermodynamic model was applied to estimate water flux, free energy changes, and chemical potential gradients, including mechanical energy effects. The phenomenological coefficient from Onsager's relation was correlated with water flux to describe internal water migration. IR thermography enabled real-time, non-invasive monitoring of temperature and emissivity, correlating with morphological changes during drying. Sorption isotherms were fitted using the GAB model, and thermodynamic analysis allowed separation of physical and mechanical contributions to water potential. This approach provides a deeper understanding of moisture transport during drying and demonstrates the usefulness of combining IR monitoring with thermodynamic modeling. It offers a promising tool for optimizing drying protocols in high-moisture tropical fruits like goldenberry. • An irreversible thermodynamic model was developed to characterize water flux, and water transport mechanism, during goldenberry drying. • Different physical properties of goldenberry were obtained, such as specific heat, emissivity, water activity and entropy. • The evolution of air properties (energy and moisture) throughout the drying treatment of goldenberry is shown. • Infrared thermography enabled non-invasive, real-time monitoring of surface temperature. • Onsager coefficient correlated with water flux, decoupling physical and mechanical energy in water transport.

Journal of Food EngineeringVol. 404
National Autonomous University of Nicaragua (NI), Universitat Politècnica de València (ES), National University of Engineering (PE)
Universitat Politècnica de València
Climate action
Openalex Percentile: Top 19%
Food Drying and Modeling
1.16
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