REHYDRATION KINETICS OF DEHYDRATED BERRIES

Detalhes bibliográficos
Autor(a) principal: Ciolin,Ígor H. de M. R.
Data de Publicação: 2021
Outros Autores: Antunes,Camila W., Lenhard,Daiane C., Garcia,Carolina C.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Engenharia Agrícola
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162021000300389
Resumo: ABSTRACT Cranberries and blueberries are small fruits known for their antioxidant properties. However, due to their high water content and short shelf life, they are generally marketed as dehydrated berries. The present work aimed to model the rehydration of dehydrated berries. Rehydration tests were conducted at 7 and 29°C using milk as a solvent and at 7, 29, and 45°C when the solvent was water. The mass gain was assessed at different intervals, and the experimental data were fitted to the Fick model considering the berries as spheres. Six empirical/semi-empirical models describing the diffusion of water during drying were used to predict the rehydration process. Fick’s law satisfactorily represented the data, and the highest diffusion coefficients were found when the berries were rehydrated in water at 45°C. Rehydration of berries in milk resulted in nutrient gain as different diffusive flows occurred during the process. The use of empirical models to predict the operating time of the rehydration processes allows flexibility as such models are mathematically simpler than the Fick model. Diffusivity is essential for the design/construction of equipment, and/or process optimization and implementation.
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spelling REHYDRATION KINETICS OF DEHYDRATED BERRIESBlueberrycranberrydiffusivitymathematical modelingVaccinium spABSTRACT Cranberries and blueberries are small fruits known for their antioxidant properties. However, due to their high water content and short shelf life, they are generally marketed as dehydrated berries. The present work aimed to model the rehydration of dehydrated berries. Rehydration tests were conducted at 7 and 29°C using milk as a solvent and at 7, 29, and 45°C when the solvent was water. The mass gain was assessed at different intervals, and the experimental data were fitted to the Fick model considering the berries as spheres. Six empirical/semi-empirical models describing the diffusion of water during drying were used to predict the rehydration process. Fick’s law satisfactorily represented the data, and the highest diffusion coefficients were found when the berries were rehydrated in water at 45°C. Rehydration of berries in milk resulted in nutrient gain as different diffusive flows occurred during the process. The use of empirical models to predict the operating time of the rehydration processes allows flexibility as such models are mathematically simpler than the Fick model. Diffusivity is essential for the design/construction of equipment, and/or process optimization and implementation.Associação Brasileira de Engenharia Agrícola2021-05-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162021000300389Engenharia Agrícola v.41 n.3 2021reponame:Engenharia Agrícolainstname:Associação Brasileira de Engenharia Agrícola (SBEA)instacron:SBEA10.1590/1809-4430-eng.agric.v41n3p389-395/2021info:eu-repo/semantics/openAccessCiolin,Ígor H. de M. R.Antunes,Camila W.Lenhard,Daiane C.Garcia,Carolina C.eng2021-06-23T00:00:00Zoai:scielo:S0100-69162021000300389Revistahttp://www.engenhariaagricola.org.br/ORGhttps://old.scielo.br/oai/scielo-oai.phprevistasbea@sbea.org.br||sbea@sbea.org.br1809-44300100-6916opendoar:2021-06-23T00:00Engenharia Agrícola - Associação Brasileira de Engenharia Agrícola (SBEA)false
dc.title.none.fl_str_mv REHYDRATION KINETICS OF DEHYDRATED BERRIES
title REHYDRATION KINETICS OF DEHYDRATED BERRIES
spellingShingle REHYDRATION KINETICS OF DEHYDRATED BERRIES
Ciolin,Ígor H. de M. R.
Blueberry
cranberry
diffusivity
mathematical modeling
Vaccinium sp
title_short REHYDRATION KINETICS OF DEHYDRATED BERRIES
title_full REHYDRATION KINETICS OF DEHYDRATED BERRIES
title_fullStr REHYDRATION KINETICS OF DEHYDRATED BERRIES
title_full_unstemmed REHYDRATION KINETICS OF DEHYDRATED BERRIES
title_sort REHYDRATION KINETICS OF DEHYDRATED BERRIES
author Ciolin,Ígor H. de M. R.
author_facet Ciolin,Ígor H. de M. R.
Antunes,Camila W.
Lenhard,Daiane C.
Garcia,Carolina C.
author_role author
author2 Antunes,Camila W.
Lenhard,Daiane C.
Garcia,Carolina C.
author2_role author
author
author
dc.contributor.author.fl_str_mv Ciolin,Ígor H. de M. R.
Antunes,Camila W.
Lenhard,Daiane C.
Garcia,Carolina C.
dc.subject.por.fl_str_mv Blueberry
cranberry
diffusivity
mathematical modeling
Vaccinium sp
topic Blueberry
cranberry
diffusivity
mathematical modeling
Vaccinium sp
description ABSTRACT Cranberries and blueberries are small fruits known for their antioxidant properties. However, due to their high water content and short shelf life, they are generally marketed as dehydrated berries. The present work aimed to model the rehydration of dehydrated berries. Rehydration tests were conducted at 7 and 29°C using milk as a solvent and at 7, 29, and 45°C when the solvent was water. The mass gain was assessed at different intervals, and the experimental data were fitted to the Fick model considering the berries as spheres. Six empirical/semi-empirical models describing the diffusion of water during drying were used to predict the rehydration process. Fick’s law satisfactorily represented the data, and the highest diffusion coefficients were found when the berries were rehydrated in water at 45°C. Rehydration of berries in milk resulted in nutrient gain as different diffusive flows occurred during the process. The use of empirical models to predict the operating time of the rehydration processes allows flexibility as such models are mathematically simpler than the Fick model. Diffusivity is essential for the design/construction of equipment, and/or process optimization and implementation.
publishDate 2021
dc.date.none.fl_str_mv 2021-05-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162021000300389
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162021000300389
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1809-4430-eng.agric.v41n3p389-395/2021
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Associação Brasileira de Engenharia Agrícola
publisher.none.fl_str_mv Associação Brasileira de Engenharia Agrícola
dc.source.none.fl_str_mv Engenharia Agrícola v.41 n.3 2021
reponame:Engenharia Agrícola
instname:Associação Brasileira de Engenharia Agrícola (SBEA)
instacron:SBEA
instname_str Associação Brasileira de Engenharia Agrícola (SBEA)
instacron_str SBEA
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reponame_str Engenharia Agrícola
collection Engenharia Agrícola
repository.name.fl_str_mv Engenharia Agrícola - Associação Brasileira de Engenharia Agrícola (SBEA)
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