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

Bibliographic Details
Main Author: Teleken J.T.
Publication Date: 2018
Other Authors: Galvao, Alessandro Cazonatto, Robazza, Weber Da Silva
Format: Article
Language: eng
Source: Repositório Institucional da Udesc
dARK ID: ark:/33523/0013000004xh9
Download full: https://repositorio.udesc.br/handle/UDESC/6241
Summary: © 2018 Sociedade Brasileira de MicrobiologiaMathematical 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 growth© 2018 Sociedade Brasileira de MicrobiologiaMathematical 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.2024-12-06T12:50:16Z2018info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlep. 614 - 6201678-440510.1016/j.bjm.2018.01.005https://repositorio.udesc.br/handle/UDESC/6241ark:/33523/0013000004xh9Brazilian Journal of Microbiology493Teleken J.T.Galvao, Alessandro CazonattoRobazza, Weber Da Silvaengreponame:Repositório Institucional da Udescinstname:Universidade do Estado de Santa Catarina (UDESC)instacron:UDESCinfo:eu-repo/semantics/openAccess2024-12-07T20:50:13Zoai:repositorio.udesc.br:UDESC/6241Biblioteca Digital de Teses e Dissertaçõeshttps://pergamumweb.udesc.br/biblioteca/index.phpPRIhttps://repositorio-api.udesc.br/server/oai/requestri@udesc.bropendoar:63912024-12-07T20:50:13Repositório Institucional da Udesc - Universidade do Estado de Santa Catarina (UDESC)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 J.T.
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 J.T.
author_facet Teleken J.T.
Galvao, Alessandro Cazonatto
Robazza, Weber Da Silva
author_role author
author2 Galvao, Alessandro Cazonatto
Robazza, Weber Da Silva
author2_role author
author
dc.contributor.author.fl_str_mv Teleken J.T.
Galvao, Alessandro Cazonatto
Robazza, Weber Da Silva
description © 2018 Sociedade Brasileira de MicrobiologiaMathematical 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
2024-12-06T12:50:16Z
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 1678-4405
10.1016/j.bjm.2018.01.005
https://repositorio.udesc.br/handle/UDESC/6241
dc.identifier.dark.fl_str_mv ark:/33523/0013000004xh9
identifier_str_mv 1678-4405
10.1016/j.bjm.2018.01.005
ark:/33523/0013000004xh9
url https://repositorio.udesc.br/handle/UDESC/6241
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Brazilian Journal of Microbiology
49
3
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv p. 614 - 620
dc.source.none.fl_str_mv reponame:Repositório Institucional da Udesc
instname:Universidade do Estado de Santa Catarina (UDESC)
instacron:UDESC
instname_str Universidade do Estado de Santa Catarina (UDESC)
instacron_str UDESC
institution UDESC
reponame_str Repositório Institucional da Udesc
collection Repositório Institucional da Udesc
repository.name.fl_str_mv Repositório Institucional da Udesc - Universidade do Estado de Santa Catarina (UDESC)
repository.mail.fl_str_mv ri@udesc.br
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