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Mathematical Modeling of Thin-Layer Drying Kinetics of Tomato Peels: Influence of Drying Temperature on the Energy Requirements and Extracts Quality

Tomato drying implies high energy consumption due to the high moisture content, and limiting drying temperatures is necessary to avoid carotenoid degradation. To explain the mechanism of moisture transport through the material and to scale up the drying process, drying experiments are needed and sup...

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Autores principales: Popescu, Mihaela, Iancu, Petrica, Plesu, Valentin, Bildea, Costin Sorin, Manolache, Fulvia Ancuta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10606179/
https://www.ncbi.nlm.nih.gov/pubmed/37893776
http://dx.doi.org/10.3390/foods12203883
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author Popescu, Mihaela
Iancu, Petrica
Plesu, Valentin
Bildea, Costin Sorin
Manolache, Fulvia Ancuta
author_facet Popescu, Mihaela
Iancu, Petrica
Plesu, Valentin
Bildea, Costin Sorin
Manolache, Fulvia Ancuta
author_sort Popescu, Mihaela
collection PubMed
description Tomato drying implies high energy consumption due to the high moisture content, and limiting drying temperatures is necessary to avoid carotenoid degradation. To explain the mechanism of moisture transport through the material and to scale up the drying process, drying experiments are needed and supported by mathematical modeling. For the Rila tomato peel drying process, ten thin-layer mathematical models were formulated based on experimental data for six temperatures (50–75 °C) and validated by statistical analysis. Considering the slab geometry of the peels sample and Fick’s second law of diffusion model, the calculated effective moisture diffusivity coefficient values D(eff) varied between 1.01 × 10(−9)–1.53 × 10(−9) m(2)/s with R(2) higher than 0.9432. From the semi-theoretical models, Two-term presents the best prediction of moisture ratio with the highest R(2) and lowest χ(2) and RMSE values. Using the experimental data on extract quality (carotenoid content), two degradation models were formulated. Increasing the drying temperature from 50 °C to 110 °C, a degradation of 94% for lycopene and 83% for β-carotene were predicted. From the energy analysis, a specific energy consumption of 56.60 ± 0.51 kWh is necessary for hot-air drying of 1 kg of Rila tomato peel at 50 °C to avoid carotenoid degradation.
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spelling pubmed-106061792023-10-28 Mathematical Modeling of Thin-Layer Drying Kinetics of Tomato Peels: Influence of Drying Temperature on the Energy Requirements and Extracts Quality Popescu, Mihaela Iancu, Petrica Plesu, Valentin Bildea, Costin Sorin Manolache, Fulvia Ancuta Foods Article Tomato drying implies high energy consumption due to the high moisture content, and limiting drying temperatures is necessary to avoid carotenoid degradation. To explain the mechanism of moisture transport through the material and to scale up the drying process, drying experiments are needed and supported by mathematical modeling. For the Rila tomato peel drying process, ten thin-layer mathematical models were formulated based on experimental data for six temperatures (50–75 °C) and validated by statistical analysis. Considering the slab geometry of the peels sample and Fick’s second law of diffusion model, the calculated effective moisture diffusivity coefficient values D(eff) varied between 1.01 × 10(−9)–1.53 × 10(−9) m(2)/s with R(2) higher than 0.9432. From the semi-theoretical models, Two-term presents the best prediction of moisture ratio with the highest R(2) and lowest χ(2) and RMSE values. Using the experimental data on extract quality (carotenoid content), two degradation models were formulated. Increasing the drying temperature from 50 °C to 110 °C, a degradation of 94% for lycopene and 83% for β-carotene were predicted. From the energy analysis, a specific energy consumption of 56.60 ± 0.51 kWh is necessary for hot-air drying of 1 kg of Rila tomato peel at 50 °C to avoid carotenoid degradation. MDPI 2023-10-23 /pmc/articles/PMC10606179/ /pubmed/37893776 http://dx.doi.org/10.3390/foods12203883 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Popescu, Mihaela
Iancu, Petrica
Plesu, Valentin
Bildea, Costin Sorin
Manolache, Fulvia Ancuta
Mathematical Modeling of Thin-Layer Drying Kinetics of Tomato Peels: Influence of Drying Temperature on the Energy Requirements and Extracts Quality
title Mathematical Modeling of Thin-Layer Drying Kinetics of Tomato Peels: Influence of Drying Temperature on the Energy Requirements and Extracts Quality
title_full Mathematical Modeling of Thin-Layer Drying Kinetics of Tomato Peels: Influence of Drying Temperature on the Energy Requirements and Extracts Quality
title_fullStr Mathematical Modeling of Thin-Layer Drying Kinetics of Tomato Peels: Influence of Drying Temperature on the Energy Requirements and Extracts Quality
title_full_unstemmed Mathematical Modeling of Thin-Layer Drying Kinetics of Tomato Peels: Influence of Drying Temperature on the Energy Requirements and Extracts Quality
title_short Mathematical Modeling of Thin-Layer Drying Kinetics of Tomato Peels: Influence of Drying Temperature on the Energy Requirements and Extracts Quality
title_sort mathematical modeling of thin-layer drying kinetics of tomato peels: influence of drying temperature on the energy requirements and extracts quality
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10606179/
https://www.ncbi.nlm.nih.gov/pubmed/37893776
http://dx.doi.org/10.3390/foods12203883
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