Primary and secondary modeling of Brochothrix thermosphacta growth under different temperature and ph values

Detalhes bibliográficos
Autor(a) principal: GONÇALVES,Leticia Dias dos Anjos
Data de Publicação: 2018
Outros Autores: PICCOLI,Roberta Hilsdorf, PERES,Alexandre de Paula, SAÚDE,André Vital
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=S0101-20612018000500037
Resumo: Abstract Bochothrix thermosphacta is an optional aerobic psychrotrophic related to the meat deterioration and consequently loss of a refrigerated cargo contaminated. Predictive microbiology can be used as a quality assurance tool, since it allows the prediction of microbial response based in pass observations. This work aimed model the growth of B. thermosphacta under variation of pH and temperature. For this purpose, the experimental growth data were fitted to the primary models of Baranyi and Roberts and the modified Gompertz model and the data for the maximum rate of growth (μmax) were adjusted to Ratkowsky extended secondary model. The results showed us that the influence of temperature on growth parameters was more evident than pH. Since, by fixing the temperature the change of pH little altered the μmax. However, as the temperature rises the elevation at the μmax is considerable, for example the comparison of predicted values ​​for μmax, when the temperature exceeds 4 °C to 12 °C, it is clear that these rates are more than double. Finally, it is emphasized that all tested models feature good fit to the experimental data, which makes them validated for prediction growth of B. thermosphacta in the same conditions tested experimentally.
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spelling Primary and secondary modeling of Brochothrix thermosphacta growth under different temperature and ph valuesdeteriorationrefrigerationpredictive modelsAbstract Bochothrix thermosphacta is an optional aerobic psychrotrophic related to the meat deterioration and consequently loss of a refrigerated cargo contaminated. Predictive microbiology can be used as a quality assurance tool, since it allows the prediction of microbial response based in pass observations. This work aimed model the growth of B. thermosphacta under variation of pH and temperature. For this purpose, the experimental growth data were fitted to the primary models of Baranyi and Roberts and the modified Gompertz model and the data for the maximum rate of growth (μmax) were adjusted to Ratkowsky extended secondary model. The results showed us that the influence of temperature on growth parameters was more evident than pH. Since, by fixing the temperature the change of pH little altered the μmax. However, as the temperature rises the elevation at the μmax is considerable, for example the comparison of predicted values ​​for μmax, when the temperature exceeds 4 °C to 12 °C, it is clear that these rates are more than double. Finally, it is emphasized that all tested models feature good fit to the experimental data, which makes them validated for prediction growth of B. thermosphacta in the same conditions tested experimentally.Sociedade Brasileira de Ciência e Tecnologia de Alimentos2018-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612018000500037Food Science and Technology v.38 suppl.1 2018reponame:Food Science and Technology (Campinas)instname:Sociedade Brasileira de Ciência e Tecnologia de Alimentos (SBCTA)instacron:SBCTA10.1590/fst.13317info:eu-repo/semantics/openAccessGONÇALVES,Leticia Dias dos AnjosPICCOLI,Roberta HilsdorfPERES,Alexandre de PaulaSAÚDE,André Vitaleng2019-01-21T00:00:00Zoai:scielo:S0101-20612018000500037Revistahttp://www.scielo.br/ctaONGhttps://old.scielo.br/oai/scielo-oai.php||revista@sbcta.org.br1678-457X0101-2061opendoar:2019-01-21T00:00Food Science and Technology (Campinas) - Sociedade Brasileira de Ciência e Tecnologia de Alimentos (SBCTA)false
dc.title.none.fl_str_mv Primary and secondary modeling of Brochothrix thermosphacta growth under different temperature and ph values
title Primary and secondary modeling of Brochothrix thermosphacta growth under different temperature and ph values
spellingShingle Primary and secondary modeling of Brochothrix thermosphacta growth under different temperature and ph values
GONÇALVES,Leticia Dias dos Anjos
deterioration
refrigeration
predictive models
title_short Primary and secondary modeling of Brochothrix thermosphacta growth under different temperature and ph values
title_full Primary and secondary modeling of Brochothrix thermosphacta growth under different temperature and ph values
title_fullStr Primary and secondary modeling of Brochothrix thermosphacta growth under different temperature and ph values
title_full_unstemmed Primary and secondary modeling of Brochothrix thermosphacta growth under different temperature and ph values
title_sort Primary and secondary modeling of Brochothrix thermosphacta growth under different temperature and ph values
author GONÇALVES,Leticia Dias dos Anjos
author_facet GONÇALVES,Leticia Dias dos Anjos
PICCOLI,Roberta Hilsdorf
PERES,Alexandre de Paula
SAÚDE,André Vital
author_role author
author2 PICCOLI,Roberta Hilsdorf
PERES,Alexandre de Paula
SAÚDE,André Vital
author2_role author
author
author
dc.contributor.author.fl_str_mv GONÇALVES,Leticia Dias dos Anjos
PICCOLI,Roberta Hilsdorf
PERES,Alexandre de Paula
SAÚDE,André Vital
dc.subject.por.fl_str_mv deterioration
refrigeration
predictive models
topic deterioration
refrigeration
predictive models
description Abstract Bochothrix thermosphacta is an optional aerobic psychrotrophic related to the meat deterioration and consequently loss of a refrigerated cargo contaminated. Predictive microbiology can be used as a quality assurance tool, since it allows the prediction of microbial response based in pass observations. This work aimed model the growth of B. thermosphacta under variation of pH and temperature. For this purpose, the experimental growth data were fitted to the primary models of Baranyi and Roberts and the modified Gompertz model and the data for the maximum rate of growth (μmax) were adjusted to Ratkowsky extended secondary model. The results showed us that the influence of temperature on growth parameters was more evident than pH. Since, by fixing the temperature the change of pH little altered the μmax. However, as the temperature rises the elevation at the μmax is considerable, for example the comparison of predicted values ​​for μmax, when the temperature exceeds 4 °C to 12 °C, it is clear that these rates are more than double. Finally, it is emphasized that all tested models feature good fit to the experimental data, which makes them validated for prediction growth of B. thermosphacta in the same conditions tested experimentally.
publishDate 2018
dc.date.none.fl_str_mv 2018-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612018000500037
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612018000500037
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/fst.13317
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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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.38 suppl.1 2018
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
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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)
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