REHYDRATION KINETICS OF DEHYDRATED BERRIES
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , |
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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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 |
institution |
SBEA |
reponame_str |
Engenharia Agrícola |
collection |
Engenharia Agrícola |
repository.name.fl_str_mv |
Engenharia Agrícola - Associação Brasileira de Engenharia Agrícola (SBEA) |
repository.mail.fl_str_mv |
revistasbea@sbea.org.br||sbea@sbea.org.br |
_version_ |
1752126275236921344 |