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: Repositório Institucional da UFLA
Texto Completo: http://repositorio.ufla.br/jspui/handle/1/56621110
Resumo: 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 modelsBochothrix 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 Alimentos2019-02-28T11:43:10Z2019-02-28T11:43:10Z2018-12info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfGONÇALVES, L. D. dos A. et al. Primary and secondary modeling of brochothrix thermosphacta growth under different temperature and ph values. Food Science and Technology, Campinas, v. 38, p. 37-43, Dec. 2018. Suplemento 1.http://repositorio.ufla.br/jspui/handle/1/56621110Food Science and Technologyreponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessGonçalves, Leticia Dias dos AnjosPiccoli, Roberta HilsdorfPeres, Alexandre de PaulaSaúde, André Vitaleng2023-05-03T13:05:06Zoai:localhost:1/33110Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2023-05-03T13:05:06Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)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 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
2019-02-28T11:43:10Z
2019-02-28T11:43:10Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv GONÇALVES, L. D. dos A. et al. Primary and secondary modeling of brochothrix thermosphacta growth under different temperature and ph values. Food Science and Technology, Campinas, v. 38, p. 37-43, Dec. 2018. Suplemento 1.
http://repositorio.ufla.br/jspui/handle/1/56621110
identifier_str_mv GONÇALVES, L. D. dos A. et al. Primary and secondary modeling of brochothrix thermosphacta growth under different temperature and ph values. Food Science and Technology, Campinas, v. 38, p. 37-43, Dec. 2018. Suplemento 1.
url http://repositorio.ufla.br/jspui/handle/1/56621110
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
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
reponame:Repositório Institucional da UFLA
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Repositório Institucional da UFLA
collection Repositório Institucional da UFLA
repository.name.fl_str_mv Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv nivaldo@ufla.br || repositorio.biblioteca@ufla.br
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