Use of modified Richards model to predict isothermal and non-isothermal microbial growth
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , |
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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Brazilian Journal of Microbiology |
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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 |
_version_ |
1752122209726365696 |