Cargando…
Effect of Ultrasonic Pretreatment on Melon Drying and Computational Fluid Dynamic Modelling of Thermal Profile
Research background: Drying is one of the most traditional processes of food preservation. Optimizing the process can result in a competitive product on the market regarding its price and quality. A common method in use as a pretreatment to drying is ultrasound. The goal of this work is to analyze d...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
University of Zagreb Faculty of Food Technology and Biotechnology
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7821775/ https://www.ncbi.nlm.nih.gov/pubmed/33505201 http://dx.doi.org/10.17113/ftb.58.04.20.6813 |
_version_ | 1783639494111526912 |
---|---|
author | Fernandes da Silva, João Henrique da Silva Neto, José Sabino Souza da Silva, Edilene de Souza Cavalcanti, Danilo Emídio Azoubel, Patrícia Moreira Benachour, Mohand |
author_facet | Fernandes da Silva, João Henrique da Silva Neto, José Sabino Souza da Silva, Edilene de Souza Cavalcanti, Danilo Emídio Azoubel, Patrícia Moreira Benachour, Mohand |
author_sort | Fernandes da Silva, João Henrique |
collection | PubMed |
description | Research background: Drying is one of the most traditional processes of food preservation. Optimizing the process can result in a competitive product on the market regarding its price and quality. A common method in use as a pretreatment to drying is ultrasound. The goal of this work is to analyze different drying methods with and without applying ultrasound (US) pretreatment, on heat and mass transfer, simulating numerically the temperature profile by computational fluid dynamics (CFD). Experimental approach: The melon slices were pretreated with ultrasound for 10 (US10), 20 (US20) and 30 (US30) min at 25 kHz, and the water loss and solid gain were evaluated. Samples were dried at different temperatures (50, 60 and 70 °C). The effective diffusivity was estimated, and experimental data were modelled using empirical models. The airflow in the dryer and the temperature profile in the melon slice were simulated via computational fluid dynamics (CFD). Results and conclusions: Ultrasound pretreatment reduced the drying time from 25% (samples US20 and US30 at 50 °C) to 40% (samples US20 and US30 at 70 °C). The two-term exponential model presented the best fit to the experimental data, and the diffusivity coefficients showed a tendency to increase as the time of exposure of the melon to ultrasonic waves increased. Pretreatment water loss and solid gain behaviour and drying kinetic and diffusion data were used to choose the best experimental conditions to be simulated with CFD. The heat transfer modelling through CFD showed that the temperature distribution along the melon slice was representative. Therefore, the profile obtained via CFD satisfactorily describes the drying process. Novelty and scientific contribution: The use of simulation tools in real processes allows the monitoring and improvement of existing technologies, such as food drying processes, that involve complex mechanisms, making it difficult to obtain some data. Application of CFD in the drying processes of fruits and vegetables is still very recent, being a field little explored. There is no record in the literature that uses CFD in the drying of melon. |
format | Online Article Text |
id | pubmed-7821775 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | University of Zagreb Faculty of Food Technology and Biotechnology |
record_format | MEDLINE/PubMed |
spelling | pubmed-78217752021-01-26 Effect of Ultrasonic Pretreatment on Melon Drying and Computational Fluid Dynamic Modelling of Thermal Profile Fernandes da Silva, João Henrique da Silva Neto, José Sabino Souza da Silva, Edilene de Souza Cavalcanti, Danilo Emídio Azoubel, Patrícia Moreira Benachour, Mohand Food Technol Biotechnol Original Scientific Papers Research background: Drying is one of the most traditional processes of food preservation. Optimizing the process can result in a competitive product on the market regarding its price and quality. A common method in use as a pretreatment to drying is ultrasound. The goal of this work is to analyze different drying methods with and without applying ultrasound (US) pretreatment, on heat and mass transfer, simulating numerically the temperature profile by computational fluid dynamics (CFD). Experimental approach: The melon slices were pretreated with ultrasound for 10 (US10), 20 (US20) and 30 (US30) min at 25 kHz, and the water loss and solid gain were evaluated. Samples were dried at different temperatures (50, 60 and 70 °C). The effective diffusivity was estimated, and experimental data were modelled using empirical models. The airflow in the dryer and the temperature profile in the melon slice were simulated via computational fluid dynamics (CFD). Results and conclusions: Ultrasound pretreatment reduced the drying time from 25% (samples US20 and US30 at 50 °C) to 40% (samples US20 and US30 at 70 °C). The two-term exponential model presented the best fit to the experimental data, and the diffusivity coefficients showed a tendency to increase as the time of exposure of the melon to ultrasonic waves increased. Pretreatment water loss and solid gain behaviour and drying kinetic and diffusion data were used to choose the best experimental conditions to be simulated with CFD. The heat transfer modelling through CFD showed that the temperature distribution along the melon slice was representative. Therefore, the profile obtained via CFD satisfactorily describes the drying process. Novelty and scientific contribution: The use of simulation tools in real processes allows the monitoring and improvement of existing technologies, such as food drying processes, that involve complex mechanisms, making it difficult to obtain some data. Application of CFD in the drying processes of fruits and vegetables is still very recent, being a field little explored. There is no record in the literature that uses CFD in the drying of melon. University of Zagreb Faculty of Food Technology and Biotechnology 2020-12 /pmc/articles/PMC7821775/ /pubmed/33505201 http://dx.doi.org/10.17113/ftb.58.04.20.6813 Text en http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution (CC BY) 4.0 License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Scientific Papers Fernandes da Silva, João Henrique da Silva Neto, José Sabino Souza da Silva, Edilene de Souza Cavalcanti, Danilo Emídio Azoubel, Patrícia Moreira Benachour, Mohand Effect of Ultrasonic Pretreatment on Melon Drying and Computational Fluid Dynamic Modelling of Thermal Profile |
title | Effect of Ultrasonic Pretreatment on Melon Drying and Computational Fluid Dynamic Modelling of Thermal Profile |
title_full | Effect of Ultrasonic Pretreatment on Melon Drying and Computational Fluid Dynamic Modelling of Thermal Profile |
title_fullStr | Effect of Ultrasonic Pretreatment on Melon Drying and Computational Fluid Dynamic Modelling of Thermal Profile |
title_full_unstemmed | Effect of Ultrasonic Pretreatment on Melon Drying and Computational Fluid Dynamic Modelling of Thermal Profile |
title_short | Effect of Ultrasonic Pretreatment on Melon Drying and Computational Fluid Dynamic Modelling of Thermal Profile |
title_sort | effect of ultrasonic pretreatment on melon drying and computational fluid dynamic modelling of thermal profile |
topic | Original Scientific Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7821775/ https://www.ncbi.nlm.nih.gov/pubmed/33505201 http://dx.doi.org/10.17113/ftb.58.04.20.6813 |
work_keys_str_mv | AT fernandesdasilvajoaohenrique effectofultrasonicpretreatmentonmelondryingandcomputationalfluiddynamicmodellingofthermalprofile AT dasilvanetojosesabino effectofultrasonicpretreatmentonmelondryingandcomputationalfluiddynamicmodellingofthermalprofile AT souzadasilvaedilene effectofultrasonicpretreatmentonmelondryingandcomputationalfluiddynamicmodellingofthermalprofile AT desouzacavalcantidaniloemidio effectofultrasonicpretreatmentonmelondryingandcomputationalfluiddynamicmodellingofthermalprofile AT azoubelpatriciamoreira effectofultrasonicpretreatmentonmelondryingandcomputationalfluiddynamicmodellingofthermalprofile AT benachourmohand effectofultrasonicpretreatmentonmelondryingandcomputationalfluiddynamicmodellingofthermalprofile |