Use of modified Richards model to predict isothermal and non-isothermal microbial growth
Main Author: | |
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Publication Date: | 2018 |
Other Authors: | , |
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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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 |
_version_ |
1842258087575027712 |