Multicomponent diffusion during Prato cheese ripening: mathematical modeling using the finite element method
Autor(a) principal: | |
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Data de Publicação: | 2010 |
Outros Autores: | , , , |
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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Food Science and Technology (Campinas) |
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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 |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612010000400018 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612010000400018 |
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 |
_version_ |
1752126315697274880 |