Multicomponent diffusion during Prato cheese ripening: mathematical modeling using the finite element method

Detalhes bibliográficos
Autor(a) principal: Bona,Evandro
Data de Publicação: 2010
Outros Autores: Silva,Rui Sergio dos Santos Ferreira da, Borsato,Dionísio, Silva,Luiz Henry Monken e, Fidelis,Dayanne Aline de Souza
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Food Science and Technology (Campinas)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612010000400018
Resumo: The partial replacement of NaCl by KCl is a promising alternative to produce a cheese with lower sodium content since KCl does not change the final quality of the cheese product. In order to assure proper salt proportions, mathematical models are employed to control the product process and simulate the multicomponent diffusion during the reduced salt cheese ripening period. The generalized Fick's Second Law is widely accepted as the primary mass transfer model within solid foods. The Finite Element Method (FEM) was used to solve the system of differential equations formed. Therefore, a NaCl and KCl multicomponent diffusion was simulated using a 20% (w/w) static brine with 70% NaCl and 30% KCl during Prato cheese (a Brazilian semi-hard cheese) salting and ripening. The theoretical results were compared with experimental data, and indicated that the deviation was 4.43% for NaCl and 4.72% for KCl validating the proposed model for the production of good quality, reduced-sodium cheeses.
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spelling Multicomponent diffusion during Prato cheese ripening: mathematical modeling using the finite element methodripeningPrato cheesefinite element methodmulticomponent diffusionThe partial replacement of NaCl by KCl is a promising alternative to produce a cheese with lower sodium content since KCl does not change the final quality of the cheese product. In order to assure proper salt proportions, mathematical models are employed to control the product process and simulate the multicomponent diffusion during the reduced salt cheese ripening period. The generalized Fick's Second Law is widely accepted as the primary mass transfer model within solid foods. The Finite Element Method (FEM) was used to solve the system of differential equations formed. Therefore, a NaCl and KCl multicomponent diffusion was simulated using a 20% (w/w) static brine with 70% NaCl and 30% KCl during Prato cheese (a Brazilian semi-hard cheese) salting and ripening. The theoretical results were compared with experimental data, and indicated that the deviation was 4.43% for NaCl and 4.72% for KCl validating the proposed model for the production of good quality, reduced-sodium cheeses.Sociedade Brasileira de Ciência e Tecnologia de Alimentos2010-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612010000400018Food Science and Technology v.30 n.4 2010reponame:Food Science and Technology (Campinas)instname:Sociedade Brasileira de Ciência e Tecnologia de Alimentos (SBCTA)instacron:SBCTA10.1590/S0101-20612010000400018info:eu-repo/semantics/openAccessBona,EvandroSilva,Rui Sergio dos Santos Ferreira daBorsato,DionísioSilva,Luiz Henry Monken eFidelis,Dayanne Aline de Souzaeng2011-01-26T00:00:00Zoai:scielo:S0101-20612010000400018Revistahttp://www.scielo.br/ctaONGhttps://old.scielo.br/oai/scielo-oai.php||revista@sbcta.org.br1678-457X0101-2061opendoar:2011-01-26T00:00Food Science and Technology (Campinas) - Sociedade Brasileira de Ciência e Tecnologia de Alimentos (SBCTA)false
dc.title.none.fl_str_mv Multicomponent diffusion during Prato cheese ripening: mathematical modeling using the finite element method
title Multicomponent diffusion during Prato cheese ripening: mathematical modeling using the finite element method
spellingShingle Multicomponent diffusion during Prato cheese ripening: mathematical modeling using the finite element method
Bona,Evandro
ripening
Prato cheese
finite element method
multicomponent diffusion
title_short Multicomponent diffusion during Prato cheese ripening: mathematical modeling using the finite element method
title_full Multicomponent diffusion during Prato cheese ripening: mathematical modeling using the finite element method
title_fullStr Multicomponent diffusion during Prato cheese ripening: mathematical modeling using the finite element method
title_full_unstemmed Multicomponent diffusion during Prato cheese ripening: mathematical modeling using the finite element method
title_sort Multicomponent diffusion during Prato cheese ripening: mathematical modeling using the finite element method
author Bona,Evandro
author_facet Bona,Evandro
Silva,Rui Sergio dos Santos Ferreira da
Borsato,Dionísio
Silva,Luiz Henry Monken e
Fidelis,Dayanne Aline de Souza
author_role author
author2 Silva,Rui Sergio dos Santos Ferreira da
Borsato,Dionísio
Silva,Luiz Henry Monken e
Fidelis,Dayanne Aline de Souza
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Bona,Evandro
Silva,Rui Sergio dos Santos Ferreira da
Borsato,Dionísio
Silva,Luiz Henry Monken e
Fidelis,Dayanne Aline de Souza
dc.subject.por.fl_str_mv ripening
Prato cheese
finite element method
multicomponent diffusion
topic ripening
Prato cheese
finite element method
multicomponent diffusion
description The partial replacement of NaCl by KCl is a promising alternative to produce a cheese with lower sodium content since KCl does not change the final quality of the cheese product. In order to assure proper salt proportions, mathematical models are employed to control the product process and simulate the multicomponent diffusion during the reduced salt cheese ripening period. The generalized Fick's Second Law is widely accepted as the primary mass transfer model within solid foods. The Finite Element Method (FEM) was used to solve the system of differential equations formed. Therefore, a NaCl and KCl multicomponent diffusion was simulated using a 20% (w/w) static brine with 70% NaCl and 30% KCl during Prato cheese (a Brazilian semi-hard cheese) salting and ripening. The theoretical results were compared with experimental data, and indicated that the deviation was 4.43% for NaCl and 4.72% for KCl validating the proposed model for the production of good quality, reduced-sodium cheeses.
publishDate 2010
dc.date.none.fl_str_mv 2010-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612010000400018
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0101-20612010000400018
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 Sociedade Brasileira de Ciência e Tecnologia de Alimentos
publisher.none.fl_str_mv Sociedade Brasileira de Ciência e Tecnologia de Alimentos
dc.source.none.fl_str_mv Food Science and Technology v.30 n.4 2010
reponame:Food Science and Technology (Campinas)
instname:Sociedade Brasileira de Ciência e Tecnologia de Alimentos (SBCTA)
instacron:SBCTA
instname_str Sociedade Brasileira de Ciência e Tecnologia de Alimentos (SBCTA)
instacron_str SBCTA
institution SBCTA
reponame_str Food Science and Technology (Campinas)
collection Food Science and Technology (Campinas)
repository.name.fl_str_mv Food Science and Technology (Campinas) - Sociedade Brasileira de Ciência e Tecnologia de Alimentos (SBCTA)
repository.mail.fl_str_mv ||revista@sbcta.org.br
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