An empirical model to estimate the growth of ice crystals for storage of Tilapia at variable temperature conditions

Detalhes bibliográficos
Autor(a) principal: GUTIÉRREZ,Mirko Salomón Chávez
Data de Publicação: 2019
Outros Autores: ARAÚJO,Luciares Costa de, SILVEIRA JÚNIOR,Vivaldo
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=S0101-20612019000300567
Resumo: Abstract Empirical models can be used to represent the recrystallization process in frozen food as a simple strategy (limited by the complexity of the process). Anyway, the empirical model has a better fit when used within the range of experimental values from which they were generated. In this work, an empirical mathematical model derived from the Arrhenius equation was proposed, since in previous publications it was shown that there is a direct relation between the growth of ice crystals and the temperature oscillations that occur during the storage of frozen products. Equivalent diameter data of ice crystals obtained from the storage of frozen Tilapia analyzed in the optical microscope was used as a database for the formulation of the empirical model. The developed model was acceptable to predict ice crystal growth during recrystallization in frozen Tilapia samples and had the advantage of being simple and robust enough to estimate this growth in the flotation range from -18 to -11 °C After the first 30 days of storage. The average equivalent diameter (Deq) values predicted by the model indicated that the model provides a satisfactory description of the growth of the crystals with R2 equal to 0.930.
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spelling An empirical model to estimate the growth of ice crystals for storage of Tilapia at variable temperature conditionsempirical modelArrhenius modelrecrystallizationtemperature oscillationsAbstract Empirical models can be used to represent the recrystallization process in frozen food as a simple strategy (limited by the complexity of the process). Anyway, the empirical model has a better fit when used within the range of experimental values from which they were generated. In this work, an empirical mathematical model derived from the Arrhenius equation was proposed, since in previous publications it was shown that there is a direct relation between the growth of ice crystals and the temperature oscillations that occur during the storage of frozen products. Equivalent diameter data of ice crystals obtained from the storage of frozen Tilapia analyzed in the optical microscope was used as a database for the formulation of the empirical model. The developed model was acceptable to predict ice crystal growth during recrystallization in frozen Tilapia samples and had the advantage of being simple and robust enough to estimate this growth in the flotation range from -18 to -11 °C After the first 30 days of storage. The average equivalent diameter (Deq) values predicted by the model indicated that the model provides a satisfactory description of the growth of the crystals with R2 equal to 0.930.Sociedade Brasileira de Ciência e Tecnologia de Alimentos2019-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612019000300567Food Science and Technology v.39 n.3 2019reponame:Food Science and Technology (Campinas)instname:Sociedade Brasileira de Ciência e Tecnologia de Alimentos (SBCTA)instacron:SBCTA10.1590/fst.31717info:eu-repo/semantics/openAccessGUTIÉRREZ,Mirko Salomón ChávezARAÚJO,Luciares Costa deSILVEIRA JÚNIOR,Vivaldoeng2019-09-20T00:00:00Zoai:scielo:S0101-20612019000300567Revistahttp://www.scielo.br/ctaONGhttps://old.scielo.br/oai/scielo-oai.php||revista@sbcta.org.br1678-457X0101-2061opendoar:2019-09-20T00:00Food Science and Technology (Campinas) - Sociedade Brasileira de Ciência e Tecnologia de Alimentos (SBCTA)false
dc.title.none.fl_str_mv An empirical model to estimate the growth of ice crystals for storage of Tilapia at variable temperature conditions
title An empirical model to estimate the growth of ice crystals for storage of Tilapia at variable temperature conditions
spellingShingle An empirical model to estimate the growth of ice crystals for storage of Tilapia at variable temperature conditions
GUTIÉRREZ,Mirko Salomón Chávez
empirical model
Arrhenius model
recrystallization
temperature oscillations
title_short An empirical model to estimate the growth of ice crystals for storage of Tilapia at variable temperature conditions
title_full An empirical model to estimate the growth of ice crystals for storage of Tilapia at variable temperature conditions
title_fullStr An empirical model to estimate the growth of ice crystals for storage of Tilapia at variable temperature conditions
title_full_unstemmed An empirical model to estimate the growth of ice crystals for storage of Tilapia at variable temperature conditions
title_sort An empirical model to estimate the growth of ice crystals for storage of Tilapia at variable temperature conditions
author GUTIÉRREZ,Mirko Salomón Chávez
author_facet GUTIÉRREZ,Mirko Salomón Chávez
ARAÚJO,Luciares Costa de
SILVEIRA JÚNIOR,Vivaldo
author_role author
author2 ARAÚJO,Luciares Costa de
SILVEIRA JÚNIOR,Vivaldo
author2_role author
author
dc.contributor.author.fl_str_mv GUTIÉRREZ,Mirko Salomón Chávez
ARAÚJO,Luciares Costa de
SILVEIRA JÚNIOR,Vivaldo
dc.subject.por.fl_str_mv empirical model
Arrhenius model
recrystallization
temperature oscillations
topic empirical model
Arrhenius model
recrystallization
temperature oscillations
description Abstract Empirical models can be used to represent the recrystallization process in frozen food as a simple strategy (limited by the complexity of the process). Anyway, the empirical model has a better fit when used within the range of experimental values from which they were generated. In this work, an empirical mathematical model derived from the Arrhenius equation was proposed, since in previous publications it was shown that there is a direct relation between the growth of ice crystals and the temperature oscillations that occur during the storage of frozen products. Equivalent diameter data of ice crystals obtained from the storage of frozen Tilapia analyzed in the optical microscope was used as a database for the formulation of the empirical model. The developed model was acceptable to predict ice crystal growth during recrystallization in frozen Tilapia samples and had the advantage of being simple and robust enough to estimate this growth in the flotation range from -18 to -11 °C After the first 30 days of storage. The average equivalent diameter (Deq) values predicted by the model indicated that the model provides a satisfactory description of the growth of the crystals with R2 equal to 0.930.
publishDate 2019
dc.date.none.fl_str_mv 2019-09-01
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=S0101-20612019000300567
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612019000300567
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/fst.31717
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.39 n.3 2019
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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