Simulation of NaCl and KCl mass transfer during salting of Prato cheese in brine with agitation: a numerical solution
Autor(a) principal: | |
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Data de Publicação: | 2007 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Brazilian Journal of Chemical Engineering |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322007000300004 |
Resumo: | The association of dietary NaCl with arterial hypertension has led to a reduction in the levels of this salt in cheeses. For salting, KCl has been used as a partial substitute for NaCl, which cannot be completely substituted without affecting product acceptability. In this study a sensorially adequate saline solution (NaCl/KCl) was simultaneously diffused during salting of Prato cheese in brine with agitation. The simultaneous multicomponent diffusion during the process was modeled with Ficks second generalized law. The system of partial differential equations formed was solved by the finite element method (FEM). In the experimental data concentration the deviation for NaCl was of 7.3% and for KCl of 5.4%, both of which were considered acceptable. The simulation of salt diffusion will allow control and modulation of salt content in Prato cheese, permitting the prediction of final content from initial conditions. |
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Brazilian Journal of Chemical Engineering |
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spelling |
Simulation of NaCl and KCl mass transfer during salting of Prato cheese in brine with agitation: a numerical solutionMulticomponent diffusionFinite element methodBiot mass-exchange numberThe association of dietary NaCl with arterial hypertension has led to a reduction in the levels of this salt in cheeses. For salting, KCl has been used as a partial substitute for NaCl, which cannot be completely substituted without affecting product acceptability. In this study a sensorially adequate saline solution (NaCl/KCl) was simultaneously diffused during salting of Prato cheese in brine with agitation. The simultaneous multicomponent diffusion during the process was modeled with Ficks second generalized law. The system of partial differential equations formed was solved by the finite element method (FEM). In the experimental data concentration the deviation for NaCl was of 7.3% and for KCl of 5.4%, both of which were considered acceptable. The simulation of salt diffusion will allow control and modulation of salt content in Prato cheese, permitting the prediction of final content from initial conditions.Brazilian Society of Chemical Engineering2007-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322007000300004Brazilian Journal of Chemical Engineering v.24 n.3 2007reponame:Brazilian Journal of Chemical Engineeringinstname:Associação Brasileira de Engenharia Química (ABEQ)instacron:ABEQ10.1590/S0104-66322007000300004info:eu-repo/semantics/openAccessBona,E.Carneiro,R. L.Borsato,D.Silva,R. S. S. F.Fidelis,D. A. S.Silva,L. H. Monken eeng2007-11-23T00:00:00Zoai:scielo:S0104-66322007000300004Revistahttps://www.scielo.br/j/bjce/https://old.scielo.br/oai/scielo-oai.phprgiudici@usp.br||rgiudici@usp.br1678-43830104-6632opendoar:2007-11-23T00:00Brazilian Journal of Chemical Engineering - Associação Brasileira de Engenharia Química (ABEQ)false |
dc.title.none.fl_str_mv |
Simulation of NaCl and KCl mass transfer during salting of Prato cheese in brine with agitation: a numerical solution |
title |
Simulation of NaCl and KCl mass transfer during salting of Prato cheese in brine with agitation: a numerical solution |
spellingShingle |
Simulation of NaCl and KCl mass transfer during salting of Prato cheese in brine with agitation: a numerical solution Bona,E. Multicomponent diffusion Finite element method Biot mass-exchange number |
title_short |
Simulation of NaCl and KCl mass transfer during salting of Prato cheese in brine with agitation: a numerical solution |
title_full |
Simulation of NaCl and KCl mass transfer during salting of Prato cheese in brine with agitation: a numerical solution |
title_fullStr |
Simulation of NaCl and KCl mass transfer during salting of Prato cheese in brine with agitation: a numerical solution |
title_full_unstemmed |
Simulation of NaCl and KCl mass transfer during salting of Prato cheese in brine with agitation: a numerical solution |
title_sort |
Simulation of NaCl and KCl mass transfer during salting of Prato cheese in brine with agitation: a numerical solution |
author |
Bona,E. |
author_facet |
Bona,E. Carneiro,R. L. Borsato,D. Silva,R. S. S. F. Fidelis,D. A. S. Silva,L. H. Monken e |
author_role |
author |
author2 |
Carneiro,R. L. Borsato,D. Silva,R. S. S. F. Fidelis,D. A. S. Silva,L. H. Monken e |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Bona,E. Carneiro,R. L. Borsato,D. Silva,R. S. S. F. Fidelis,D. A. S. Silva,L. H. Monken e |
dc.subject.por.fl_str_mv |
Multicomponent diffusion Finite element method Biot mass-exchange number |
topic |
Multicomponent diffusion Finite element method Biot mass-exchange number |
description |
The association of dietary NaCl with arterial hypertension has led to a reduction in the levels of this salt in cheeses. For salting, KCl has been used as a partial substitute for NaCl, which cannot be completely substituted without affecting product acceptability. In this study a sensorially adequate saline solution (NaCl/KCl) was simultaneously diffused during salting of Prato cheese in brine with agitation. The simultaneous multicomponent diffusion during the process was modeled with Ficks second generalized law. The system of partial differential equations formed was solved by the finite element method (FEM). In the experimental data concentration the deviation for NaCl was of 7.3% and for KCl of 5.4%, both of which were considered acceptable. The simulation of salt diffusion will allow control and modulation of salt content in Prato cheese, permitting the prediction of final content from initial conditions. |
publishDate |
2007 |
dc.date.none.fl_str_mv |
2007-09-01 |
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=S0104-66322007000300004 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322007000300004 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S0104-66322007000300004 |
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 |
Brazilian Society of Chemical Engineering |
publisher.none.fl_str_mv |
Brazilian Society of Chemical Engineering |
dc.source.none.fl_str_mv |
Brazilian Journal of Chemical Engineering v.24 n.3 2007 reponame:Brazilian Journal of Chemical Engineering instname:Associação Brasileira de Engenharia Química (ABEQ) instacron:ABEQ |
instname_str |
Associação Brasileira de Engenharia Química (ABEQ) |
instacron_str |
ABEQ |
institution |
ABEQ |
reponame_str |
Brazilian Journal of Chemical Engineering |
collection |
Brazilian Journal of Chemical Engineering |
repository.name.fl_str_mv |
Brazilian Journal of Chemical Engineering - Associação Brasileira de Engenharia Química (ABEQ) |
repository.mail.fl_str_mv |
rgiudici@usp.br||rgiudici@usp.br |
_version_ |
1754213172311490560 |