Primary and secondary modeling of Brochothrix thermosphacta growth under different temperature and ph values
Autor(a) principal: | |
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Data de Publicação: | 2018 |
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=S0101-20612018000500037 |
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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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 |
format |
article |
status_str |
publishedVersion |
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 |
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.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 |
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_ |
1752126323014238208 |