Use of modified Richards model to predict isothermal and non-isothermal microbial growth

Detalhes bibliográficos
Autor(a) principal: Teleken,Jhony Tiago
Data de Publicação: 2018
Outros Autores: Galvão,Alessandro Cazonatto, Robazza,Weber da Silva
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Brazilian Journal of Microbiology
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-83822018000300614
Resumo: Abstract Mathematical models are often used to predict microbial growth in food products. An important class of these models involves the adaptation of classical sigmoid functions, such as the Gompertz and logistic functions. This study aimed to validate the use of the modified Richards model in various situations, which have not previously been tested. The model was obtained through solving a system of two differential equations and could be applied to both isothermal and non-isothermal environments. To test and validate this model, we used published datasets containing data for the growth of Pseudomonas spp. in fish products. The results obtained after fitting the model showed that it could be effectively used to describe and predict the Pseudomonas growth curves under various temperature regimens. However, the influence of the shape parameter on the growth curve is an issue that needs further evaluation.
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spelling Use of modified Richards model to predict isothermal and non-isothermal microbial growthRichards modelPredictive microbiologyNon-isothermal regimensAbstract Mathematical models are often used to predict microbial growth in food products. An important class of these models involves the adaptation of classical sigmoid functions, such as the Gompertz and logistic functions. This study aimed to validate the use of the modified Richards model in various situations, which have not previously been tested. The model was obtained through solving a system of two differential equations and could be applied to both isothermal and non-isothermal environments. To test and validate this model, we used published datasets containing data for the growth of Pseudomonas spp. in fish products. The results obtained after fitting the model showed that it could be effectively used to describe and predict the Pseudomonas growth curves under various temperature regimens. However, the influence of the shape parameter on the growth curve is an issue that needs further evaluation.Sociedade Brasileira de Microbiologia2018-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-83822018000300614Brazilian Journal of Microbiology v.49 n.3 2018reponame:Brazilian Journal of Microbiologyinstname:Sociedade Brasileira de Microbiologia (SBM)instacron:SBM10.1016/j.bjm.2018.01.005info:eu-repo/semantics/openAccessTeleken,Jhony TiagoGalvão,Alessandro CazonattoRobazza,Weber da Silvaeng2018-08-03T00:00:00Zoai:scielo:S1517-83822018000300614Revistahttps://www.scielo.br/j/bjm/ONGhttps://old.scielo.br/oai/scielo-oai.phpbjm@sbmicrobiologia.org.br||mbmartin@usp.br1678-44051517-8382opendoar:2018-08-03T00:00Brazilian Journal of Microbiology - Sociedade Brasileira de Microbiologia (SBM)false
dc.title.none.fl_str_mv Use of modified Richards model to predict isothermal and non-isothermal microbial growth
title Use of modified Richards model to predict isothermal and non-isothermal microbial growth
spellingShingle Use of modified Richards model to predict isothermal and non-isothermal microbial growth
Teleken,Jhony Tiago
Richards model
Predictive microbiology
Non-isothermal regimens
title_short Use of modified Richards model to predict isothermal and non-isothermal microbial growth
title_full Use of modified Richards model to predict isothermal and non-isothermal microbial growth
title_fullStr Use of modified Richards model to predict isothermal and non-isothermal microbial growth
title_full_unstemmed Use of modified Richards model to predict isothermal and non-isothermal microbial growth
title_sort Use of modified Richards model to predict isothermal and non-isothermal microbial growth
author Teleken,Jhony Tiago
author_facet Teleken,Jhony Tiago
Galvão,Alessandro Cazonatto
Robazza,Weber da Silva
author_role author
author2 Galvão,Alessandro Cazonatto
Robazza,Weber da Silva
author2_role author
author
dc.contributor.author.fl_str_mv Teleken,Jhony Tiago
Galvão,Alessandro Cazonatto
Robazza,Weber da Silva
dc.subject.por.fl_str_mv Richards model
Predictive microbiology
Non-isothermal regimens
topic Richards model
Predictive microbiology
Non-isothermal regimens
description Abstract Mathematical models are often used to predict microbial growth in food products. An important class of these models involves the adaptation of classical sigmoid functions, such as the Gompertz and logistic functions. This study aimed to validate the use of the modified Richards model in various situations, which have not previously been tested. The model was obtained through solving a system of two differential equations and could be applied to both isothermal and non-isothermal environments. To test and validate this model, we used published datasets containing data for the growth of Pseudomonas spp. in fish products. The results obtained after fitting the model showed that it could be effectively used to describe and predict the Pseudomonas growth curves under various temperature regimens. However, the influence of the shape parameter on the growth curve is an issue that needs further evaluation.
publishDate 2018
dc.date.none.fl_str_mv 2018-09-01
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=S1517-83822018000300614
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-83822018000300614
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1016/j.bjm.2018.01.005
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 Microbiologia
publisher.none.fl_str_mv Sociedade Brasileira de Microbiologia
dc.source.none.fl_str_mv Brazilian Journal of Microbiology v.49 n.3 2018
reponame:Brazilian Journal of Microbiology
instname:Sociedade Brasileira de Microbiologia (SBM)
instacron:SBM
instname_str Sociedade Brasileira de Microbiologia (SBM)
instacron_str SBM
institution SBM
reponame_str Brazilian Journal of Microbiology
collection Brazilian Journal of Microbiology
repository.name.fl_str_mv Brazilian Journal of Microbiology - Sociedade Brasileira de Microbiologia (SBM)
repository.mail.fl_str_mv bjm@sbmicrobiologia.org.br||mbmartin@usp.br
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