An approach on the use of predictive microbiology for biofilm formation
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Research, Society and Development |
Texto Completo: | https://rsdjournal.org/index.php/rsd/article/view/5117 |
Resumo: | It is necessary to ensure food quality and safety during all stages of food production. The major challenge in the food sector is the control of microbial multiplication, as microorganisms are increasingly looking for alternatives, which involve their development, both in free form as in biofilm, to survive environmental attacks. Due to this concern, researchers use new strategies to understand the dynamics of microbial growth. In this context, predictive microbiology is gaining space in food microbiology. Therefore, the objective of the study was to verify whether the current predictive models are adequate to predict the growth of sessile cells, as well as planktonic cells. A bibliographic survey on the application of predictive microbiology in the evaluation of food safety control was carried out, and we concluded that, due to the scarcity of studies, it was not possible to state the adequacy of tertiary models in the control of biofilms during food production. We highlight the need for studies that can model the formation of biofilm of pathogens under different environmental factors. |
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An approach on the use of predictive microbiology for biofilm formationUn enfoque al uso de microbiología predictiva para la formación de biofilmsUma abordagem do uso de microbiologia preditiva para formação de biofilmesAnálise bibliométricaCélulas planctônicasCélulas sésseisControle de qualidadePredição microbiana.Análisis bibliométricoCélulas planctónicasCélulas sésilesControl de calidadPredicción microbiana.Bibliometric analysisMicrobial predictionPlanktonic cellsQuality controlSessile cells.It is necessary to ensure food quality and safety during all stages of food production. The major challenge in the food sector is the control of microbial multiplication, as microorganisms are increasingly looking for alternatives, which involve their development, both in free form as in biofilm, to survive environmental attacks. Due to this concern, researchers use new strategies to understand the dynamics of microbial growth. In this context, predictive microbiology is gaining space in food microbiology. Therefore, the objective of the study was to verify whether the current predictive models are adequate to predict the growth of sessile cells, as well as planktonic cells. A bibliographic survey on the application of predictive microbiology in the evaluation of food safety control was carried out, and we concluded that, due to the scarcity of studies, it was not possible to state the adequacy of tertiary models in the control of biofilms during food production. We highlight the need for studies that can model the formation of biofilm of pathogens under different environmental factors.Es necesario garantizar la calidad e inocuidad de los alimentos durante todas las etapas de la producción de alimentos. El principal desafío en el sector alimentario es el control de la multiplicación microbiana, ya que los microorganismos buscan alternativas, que implican su desarrollo tanto en forma libre como en biofilms, para sobrevivir a los ataques ambientales. Debido a esta preocupación, los investigadores utilizan nuevas estrategias para comprender la dinámica del crecimiento microbiano. En este contexto, la microbiología predictiva está ganando espacio en la microbiología de los alimentos. El objetivo del estudio fue verificar si los modelos predictivos actuales son adecuados para predecir el crecimiento de células sésiles, así como se usan para planctónicas. Se realizo una búsqueda bibliográfica sobre la aplicación de la microbiología predictiva en la evaluación del control de seguridad alimentaria. Con base en la investigación realizada, se concluyó que, debido a la escasez de estudios, no fue posible afirmar la idoneidad de los modelos terciarios en el control de las biopelículas durante la producción de alimentos. Destacamos la necesidad de estudios que puedan modelar la formación de biopelículas de patógenos bajo diferentes factores ambientales.É necessário garantir a qualidade e a segurança dos alimentos durante todas as etapas da produção de alimentos. O grande desafio no setor de alimentos é o controle da multiplicação microbiana, pois os microrganismos estão buscando alternativas, que envolvem o seu desenvolvimento tanto na forma livre quanto em biofilmes, para sobreviver a ataques ambientais. Devido a essa preocupação, os pesquisadores usam novas estratégias para entender a dinâmica do crescimento microbiano. Nesse contexto, a microbiologia preditiva está ganhando espaço na microbiologia de alimentos. O objetivo do estudo foi verificar se os atuais modelos preditivos são adequados para prever também o crescimento de células sésseis além das planctônicas. Realizou-se um levantamento bibliográfico sobre a aplicação da microbiologia preditiva na avaliação do controle de segurança alimentar e concluiu-se que, devido à escassez de estudos, não foi possível afirmar a adequação de modelos terciários no controle de biofilmes durante a produção de alimentos. Destaca-se a necessidade de estudos que possam modelar a formação de biofilme de patógenos sob diferentes fatores ambientais.Research, Society and Development2020-06-25info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/511710.33448/rsd-v9i8.5117Research, Society and Development; Vol. 9 No. 8; e90985117Research, Society and Development; Vol. 9 Núm. 8; e90985117Research, Society and Development; v. 9 n. 8; e909851172525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIenghttps://rsdjournal.org/index.php/rsd/article/view/5117/4536Copyright (c) 2020 Jaqueline Rumão, Christian Reinehrinfo:eu-repo/semantics/openAccessRumão, Jaqueline da SilvaReinehr, Christian Oliveira2020-08-20T18:00:17Zoai:ojs.pkp.sfu.ca:article/5117Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:28:43.967215Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false |
dc.title.none.fl_str_mv |
An approach on the use of predictive microbiology for biofilm formation Un enfoque al uso de microbiología predictiva para la formación de biofilms Uma abordagem do uso de microbiologia preditiva para formação de biofilmes |
title |
An approach on the use of predictive microbiology for biofilm formation |
spellingShingle |
An approach on the use of predictive microbiology for biofilm formation Rumão, Jaqueline da Silva Análise bibliométrica Células planctônicas Células sésseis Controle de qualidade Predição microbiana. Análisis bibliométrico Células planctónicas Células sésiles Control de calidad Predicción microbiana. Bibliometric analysis Microbial prediction Planktonic cells Quality control Sessile cells. |
title_short |
An approach on the use of predictive microbiology for biofilm formation |
title_full |
An approach on the use of predictive microbiology for biofilm formation |
title_fullStr |
An approach on the use of predictive microbiology for biofilm formation |
title_full_unstemmed |
An approach on the use of predictive microbiology for biofilm formation |
title_sort |
An approach on the use of predictive microbiology for biofilm formation |
author |
Rumão, Jaqueline da Silva |
author_facet |
Rumão, Jaqueline da Silva Reinehr, Christian Oliveira |
author_role |
author |
author2 |
Reinehr, Christian Oliveira |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Rumão, Jaqueline da Silva Reinehr, Christian Oliveira |
dc.subject.por.fl_str_mv |
Análise bibliométrica Células planctônicas Células sésseis Controle de qualidade Predição microbiana. Análisis bibliométrico Células planctónicas Células sésiles Control de calidad Predicción microbiana. Bibliometric analysis Microbial prediction Planktonic cells Quality control Sessile cells. |
topic |
Análise bibliométrica Células planctônicas Células sésseis Controle de qualidade Predição microbiana. Análisis bibliométrico Células planctónicas Células sésiles Control de calidad Predicción microbiana. Bibliometric analysis Microbial prediction Planktonic cells Quality control Sessile cells. |
description |
It is necessary to ensure food quality and safety during all stages of food production. The major challenge in the food sector is the control of microbial multiplication, as microorganisms are increasingly looking for alternatives, which involve their development, both in free form as in biofilm, to survive environmental attacks. Due to this concern, researchers use new strategies to understand the dynamics of microbial growth. In this context, predictive microbiology is gaining space in food microbiology. Therefore, the objective of the study was to verify whether the current predictive models are adequate to predict the growth of sessile cells, as well as planktonic cells. A bibliographic survey on the application of predictive microbiology in the evaluation of food safety control was carried out, and we concluded that, due to the scarcity of studies, it was not possible to state the adequacy of tertiary models in the control of biofilms during food production. We highlight the need for studies that can model the formation of biofilm of pathogens under different environmental factors. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-06-25 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/5117 10.33448/rsd-v9i8.5117 |
url |
https://rsdjournal.org/index.php/rsd/article/view/5117 |
identifier_str_mv |
10.33448/rsd-v9i8.5117 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/5117/4536 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2020 Jaqueline Rumão, Christian Reinehr info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2020 Jaqueline Rumão, Christian Reinehr |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Research, Society and Development |
publisher.none.fl_str_mv |
Research, Society and Development |
dc.source.none.fl_str_mv |
Research, Society and Development; Vol. 9 No. 8; e90985117 Research, Society and Development; Vol. 9 Núm. 8; e90985117 Research, Society and Development; v. 9 n. 8; e90985117 2525-3409 reponame:Research, Society and Development instname:Universidade Federal de Itajubá (UNIFEI) instacron:UNIFEI |
instname_str |
Universidade Federal de Itajubá (UNIFEI) |
instacron_str |
UNIFEI |
institution |
UNIFEI |
reponame_str |
Research, Society and Development |
collection |
Research, Society and Development |
repository.name.fl_str_mv |
Research, Society and Development - Universidade Federal de Itajubá (UNIFEI) |
repository.mail.fl_str_mv |
rsd.articles@gmail.com |
_version_ |
1797052651429429248 |