Cargando…

A Heat and Mass Transfer Model of Peanut Convective Drying Based on a Two-Component Structure

In order to optimize the convective drying process parameters of peanuts and to provide a theoretical basis for the scientific use of energy in the drying process, this study took single-particle peanuts as the research object and analyzed the heat and mass transfer process during convective drying....

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Pengxiao, Chen, Nan, Zhu, Wenxue, Wang, Dianxuan, Jiang, Mengmeng, Qu, Chenling, Li, Yu, Zou, Zhuoyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10178041/
https://www.ncbi.nlm.nih.gov/pubmed/37174361
http://dx.doi.org/10.3390/foods12091823
_version_ 1785040765749035008
author Chen, Pengxiao
Chen, Nan
Zhu, Wenxue
Wang, Dianxuan
Jiang, Mengmeng
Qu, Chenling
Li, Yu
Zou, Zhuoyun
author_facet Chen, Pengxiao
Chen, Nan
Zhu, Wenxue
Wang, Dianxuan
Jiang, Mengmeng
Qu, Chenling
Li, Yu
Zou, Zhuoyun
author_sort Chen, Pengxiao
collection PubMed
description In order to optimize the convective drying process parameters of peanuts and to provide a theoretical basis for the scientific use of energy in the drying process, this study took single-particle peanuts as the research object and analyzed the heat and mass transfer process during convective drying. In addition, a 3D two-component moisture heat transfer model for peanuts was constructed based on the mass balance and heat balance theorem. Moreover, the changes in the internal temperature and concentration fields of peanut pods during the whole drying process were investigated by simulations using COMSOL Multiphysics. The model was validated by thin-layer drying experiments, compared with the one-component model, and combined with low-field NMR technology to further analyze the internal moisture distribution state of peanut kernel drying process. The results show that both models can effectively simulate the peanut thin-layer drying process, and consistency is found between the experimental and simulated values, with the maximum errors of 10.25%, 9.10%, and 7.60% between the simulated moisture content and the experimental values for the two-component model, peanut shell, and peanut kernel models, respectively. Free water and part of the weakly bound water was the main water lost by peanuts during the drying process, the change in oil content was small, and the bound water content was basically unchanged. The results of the study provide a theoretical basis to accurately predict the moisture content within different components of peanuts and reveal the mechanism of moisture and heat migration during the drying process of peanut pods.
format Online
Article
Text
id pubmed-10178041
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-101780412023-05-13 A Heat and Mass Transfer Model of Peanut Convective Drying Based on a Two-Component Structure Chen, Pengxiao Chen, Nan Zhu, Wenxue Wang, Dianxuan Jiang, Mengmeng Qu, Chenling Li, Yu Zou, Zhuoyun Foods Article In order to optimize the convective drying process parameters of peanuts and to provide a theoretical basis for the scientific use of energy in the drying process, this study took single-particle peanuts as the research object and analyzed the heat and mass transfer process during convective drying. In addition, a 3D two-component moisture heat transfer model for peanuts was constructed based on the mass balance and heat balance theorem. Moreover, the changes in the internal temperature and concentration fields of peanut pods during the whole drying process were investigated by simulations using COMSOL Multiphysics. The model was validated by thin-layer drying experiments, compared with the one-component model, and combined with low-field NMR technology to further analyze the internal moisture distribution state of peanut kernel drying process. The results show that both models can effectively simulate the peanut thin-layer drying process, and consistency is found between the experimental and simulated values, with the maximum errors of 10.25%, 9.10%, and 7.60% between the simulated moisture content and the experimental values for the two-component model, peanut shell, and peanut kernel models, respectively. Free water and part of the weakly bound water was the main water lost by peanuts during the drying process, the change in oil content was small, and the bound water content was basically unchanged. The results of the study provide a theoretical basis to accurately predict the moisture content within different components of peanuts and reveal the mechanism of moisture and heat migration during the drying process of peanut pods. MDPI 2023-04-28 /pmc/articles/PMC10178041/ /pubmed/37174361 http://dx.doi.org/10.3390/foods12091823 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
Chen, Pengxiao
Chen, Nan
Zhu, Wenxue
Wang, Dianxuan
Jiang, Mengmeng
Qu, Chenling
Li, Yu
Zou, Zhuoyun
A Heat and Mass Transfer Model of Peanut Convective Drying Based on a Two-Component Structure
title A Heat and Mass Transfer Model of Peanut Convective Drying Based on a Two-Component Structure
title_full A Heat and Mass Transfer Model of Peanut Convective Drying Based on a Two-Component Structure
title_fullStr A Heat and Mass Transfer Model of Peanut Convective Drying Based on a Two-Component Structure
title_full_unstemmed A Heat and Mass Transfer Model of Peanut Convective Drying Based on a Two-Component Structure
title_short A Heat and Mass Transfer Model of Peanut Convective Drying Based on a Two-Component Structure
title_sort heat and mass transfer model of peanut convective drying based on a two-component structure
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10178041/
https://www.ncbi.nlm.nih.gov/pubmed/37174361
http://dx.doi.org/10.3390/foods12091823
work_keys_str_mv AT chenpengxiao aheatandmasstransfermodelofpeanutconvectivedryingbasedonatwocomponentstructure
AT chennan aheatandmasstransfermodelofpeanutconvectivedryingbasedonatwocomponentstructure
AT zhuwenxue aheatandmasstransfermodelofpeanutconvectivedryingbasedonatwocomponentstructure
AT wangdianxuan aheatandmasstransfermodelofpeanutconvectivedryingbasedonatwocomponentstructure
AT jiangmengmeng aheatandmasstransfermodelofpeanutconvectivedryingbasedonatwocomponentstructure
AT quchenling aheatandmasstransfermodelofpeanutconvectivedryingbasedonatwocomponentstructure
AT liyu aheatandmasstransfermodelofpeanutconvectivedryingbasedonatwocomponentstructure
AT zouzhuoyun aheatandmasstransfermodelofpeanutconvectivedryingbasedonatwocomponentstructure
AT chenpengxiao heatandmasstransfermodelofpeanutconvectivedryingbasedonatwocomponentstructure
AT chennan heatandmasstransfermodelofpeanutconvectivedryingbasedonatwocomponentstructure
AT zhuwenxue heatandmasstransfermodelofpeanutconvectivedryingbasedonatwocomponentstructure
AT wangdianxuan heatandmasstransfermodelofpeanutconvectivedryingbasedonatwocomponentstructure
AT jiangmengmeng heatandmasstransfermodelofpeanutconvectivedryingbasedonatwocomponentstructure
AT quchenling heatandmasstransfermodelofpeanutconvectivedryingbasedonatwocomponentstructure
AT liyu heatandmasstransfermodelofpeanutconvectivedryingbasedonatwocomponentstructure
AT zouzhuoyun heatandmasstransfermodelofpeanutconvectivedryingbasedonatwocomponentstructure