The time-temperature tolerance theory behind thermal kinetic models for shelf-life prediction of common foods

Detalhes bibliográficos
Autor(a) principal: XU,Ying
Data de Publicação: 2022
Outros Autores: LU,Lu
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=S0101-20612022000102071
Resumo: Abstract Time-Temperature Tolerance (TTT) is an efficient and intuitive method of shelf-life prediction or logistics stability evaluation, but specific for frozen foods, while other thermal kinetic models for chemical reactions and microbial growth are complicated for users and widely used in common foods. In this paper, one common law deduced from TTT theory is that the equivalent conversion ratio (ECR) of the elapsed times for one isothermal interval between different temperatures is only related to the temperatures and equal to the ratio of corresponding shelf-lives. The law was demonstrated by 1-order chemical kinetic model and Gompertz model for chemical reaction and microbial growth. Besides, Crimson seedless fresh grape and Mackerel also proved the constancy of the ECRs between fixed temperatures. With the corresponding ECRs of key quality indicator among relevant temperatures, effect of any time-temperature history can be accumulated into one isothermal one equivalently and the remaining shelf life would be easily predicted, which is the theory of TTT. As a results, the quality following the chemical reaction and microbial growth obey the TTT theory, and the TTT theory can be used to predict the shelf-lives of most foods with developed time-temperature monitoring technologies.
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spelling The time-temperature tolerance theory behind thermal kinetic models for shelf-life prediction of common foodstime-temperature tolerancechemical kinetic modelmicrobial growth modelshelf-life predictionequivalent conversion ratioAbstract Time-Temperature Tolerance (TTT) is an efficient and intuitive method of shelf-life prediction or logistics stability evaluation, but specific for frozen foods, while other thermal kinetic models for chemical reactions and microbial growth are complicated for users and widely used in common foods. In this paper, one common law deduced from TTT theory is that the equivalent conversion ratio (ECR) of the elapsed times for one isothermal interval between different temperatures is only related to the temperatures and equal to the ratio of corresponding shelf-lives. The law was demonstrated by 1-order chemical kinetic model and Gompertz model for chemical reaction and microbial growth. Besides, Crimson seedless fresh grape and Mackerel also proved the constancy of the ECRs between fixed temperatures. With the corresponding ECRs of key quality indicator among relevant temperatures, effect of any time-temperature history can be accumulated into one isothermal one equivalently and the remaining shelf life would be easily predicted, which is the theory of TTT. As a results, the quality following the chemical reaction and microbial growth obey the TTT theory, and the TTT theory can be used to predict the shelf-lives of most foods with developed time-temperature monitoring technologies.Sociedade Brasileira de Ciência e Tecnologia de Alimentos2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612022000102071Food Science and Technology v.42 2022reponame:Food Science and Technology (Campinas)instname:Sociedade Brasileira de Ciência e Tecnologia de Alimentos (SBCTA)instacron:SBCTA10.1590/fst.32722info:eu-repo/semantics/openAccessXU,YingLU,Lueng2022-05-23T00:00:00Zoai:scielo:S0101-20612022000102071Revistahttp://www.scielo.br/ctaONGhttps://old.scielo.br/oai/scielo-oai.php||revista@sbcta.org.br1678-457X0101-2061opendoar:2022-05-23T00:00Food Science and Technology (Campinas) - Sociedade Brasileira de Ciência e Tecnologia de Alimentos (SBCTA)false
dc.title.none.fl_str_mv The time-temperature tolerance theory behind thermal kinetic models for shelf-life prediction of common foods
title The time-temperature tolerance theory behind thermal kinetic models for shelf-life prediction of common foods
spellingShingle The time-temperature tolerance theory behind thermal kinetic models for shelf-life prediction of common foods
XU,Ying
time-temperature tolerance
chemical kinetic model
microbial growth model
shelf-life prediction
equivalent conversion ratio
title_short The time-temperature tolerance theory behind thermal kinetic models for shelf-life prediction of common foods
title_full The time-temperature tolerance theory behind thermal kinetic models for shelf-life prediction of common foods
title_fullStr The time-temperature tolerance theory behind thermal kinetic models for shelf-life prediction of common foods
title_full_unstemmed The time-temperature tolerance theory behind thermal kinetic models for shelf-life prediction of common foods
title_sort The time-temperature tolerance theory behind thermal kinetic models for shelf-life prediction of common foods
author XU,Ying
author_facet XU,Ying
LU,Lu
author_role author
author2 LU,Lu
author2_role author
dc.contributor.author.fl_str_mv XU,Ying
LU,Lu
dc.subject.por.fl_str_mv time-temperature tolerance
chemical kinetic model
microbial growth model
shelf-life prediction
equivalent conversion ratio
topic time-temperature tolerance
chemical kinetic model
microbial growth model
shelf-life prediction
equivalent conversion ratio
description Abstract Time-Temperature Tolerance (TTT) is an efficient and intuitive method of shelf-life prediction or logistics stability evaluation, but specific for frozen foods, while other thermal kinetic models for chemical reactions and microbial growth are complicated for users and widely used in common foods. In this paper, one common law deduced from TTT theory is that the equivalent conversion ratio (ECR) of the elapsed times for one isothermal interval between different temperatures is only related to the temperatures and equal to the ratio of corresponding shelf-lives. The law was demonstrated by 1-order chemical kinetic model and Gompertz model for chemical reaction and microbial growth. Besides, Crimson seedless fresh grape and Mackerel also proved the constancy of the ECRs between fixed temperatures. With the corresponding ECRs of key quality indicator among relevant temperatures, effect of any time-temperature history can be accumulated into one isothermal one equivalently and the remaining shelf life would be easily predicted, which is the theory of TTT. As a results, the quality following the chemical reaction and microbial growth obey the TTT theory, and the TTT theory can be used to predict the shelf-lives of most foods with developed time-temperature monitoring technologies.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-01
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=S0101-20612022000102071
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612022000102071
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/fst.32722
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.42 2022
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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