Caracteriza??o e Predi??o da cin?tica de crescimento microbiano via pr?ticas estereol?gicas

Detalhes bibliográficos
Autor(a) principal: Moura, L?via de Aquino Garcia
Data de Publicação: 2018
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Biblioteca Digital de Teses e Dissertações da UFRRJ
Texto Completo: https://tede.ufrrj.br/jspui/handle/jspui/4859
Resumo: Predictive microbiology uses mathematical models to predict the growth and multiplication of microorganisms and is used as a tool to ensure food safety. The quantitative stereology presents a simple and reliable form of measurements of structures allowing a substitution to the form of determination of the predictive models. The objective of this work was to use stereological measurements as a tool for predictive microbiology, replacing the traditionally used mathematical methods. The fungus Penicillium sp. From this, 6 different drops of a solution prepared in 0.1% peptone water containing 108 CFU / ml spores were inoculated onto the BDA agar agar medium gelled in Petri dishes. The plates were incubated at 25 ? C and photographed 2 in 2 hours for 7 days to observe the development of the colonies. The photos were treated using the ImageJ? program, obtaining the value of the individual area ofthe colonies (AA), and the total area (AT). Applying the quantitative stereology, it was possible to determine an equation to correlate AA and AT, obtaining the value of the Volumetric Fraction, this having treated the data using the Excel? program. Then, the graphs were elaborated through the software Mathematica? and finally a mathematical model, the experimental growth curve of Penicillium sp., was adjusted through Excel?. The linear model was the one best suited to represent microbial growth. The fungus presented an adaptation rate of 0 to 16 h, with growth peak between 50-58 h and until the end of 168 h no growth curve was observed. There were overlapping of the growth curves of the 6 colonies presenting the same profile, related to the characteristic of fungal reproduction. The linear adjustment was performed through the coefficient of determination (R2), obtaining a value of 0.96, 0.99 and 0.98 for adjustment of 0-50h, 52-168h and total hours, respectively, considered a good fit. The results allowed the visualization of a new technique for the prediction of microbiological development, using the tools of quantitative stereology, enabling food safety and, implementing a new perspective for food preservation analysis and processes.
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spelling Melo, Nath?lia Ramos de031.379.796-09http://lattes.cnpq.br/1836355123449583Assis, Weslley Luiz da SilvaMelo, Nath?lia Ramos deTeodoro, Carlos Eduardo de SouzaLuchese, Rosa Helena115.970.077-06http://lattes.cnpq.br/7885709405833276Moura, L?via de Aquino Garcia2021-07-20T11:37:40Z2018-03-26MOURA, L?via de Aquino Garcia. Caracteriza??o e Predi??o da cin?tica de crescimento microbiano via pr?ticas estereol?gicas. 2018. 52 f. Disserta??o (Mestrado em Ci?ncia e Tecnologia de Alimentos) - Instituto de Tecnologia, Universidade Federal Rural do Rio de Janeiro, Serop?dica - RJ, 2018.https://tede.ufrrj.br/jspui/handle/jspui/4859Predictive microbiology uses mathematical models to predict the growth and multiplication of microorganisms and is used as a tool to ensure food safety. The quantitative stereology presents a simple and reliable form of measurements of structures allowing a substitution to the form of determination of the predictive models. The objective of this work was to use stereological measurements as a tool for predictive microbiology, replacing the traditionally used mathematical methods. The fungus Penicillium sp. From this, 6 different drops of a solution prepared in 0.1% peptone water containing 108 CFU / ml spores were inoculated onto the BDA agar agar medium gelled in Petri dishes. The plates were incubated at 25 ? C and photographed 2 in 2 hours for 7 days to observe the development of the colonies. The photos were treated using the ImageJ? program, obtaining the value of the individual area ofthe colonies (AA), and the total area (AT). Applying the quantitative stereology, it was possible to determine an equation to correlate AA and AT, obtaining the value of the Volumetric Fraction, this having treated the data using the Excel? program. Then, the graphs were elaborated through the software Mathematica? and finally a mathematical model, the experimental growth curve of Penicillium sp., was adjusted through Excel?. The linear model was the one best suited to represent microbial growth. The fungus presented an adaptation rate of 0 to 16 h, with growth peak between 50-58 h and until the end of 168 h no growth curve was observed. There were overlapping of the growth curves of the 6 colonies presenting the same profile, related to the characteristic of fungal reproduction. The linear adjustment was performed through the coefficient of determination (R2), obtaining a value of 0.96, 0.99 and 0.98 for adjustment of 0-50h, 52-168h and total hours, respectively, considered a good fit. The results allowed the visualization of a new technique for the prediction of microbiological development, using the tools of quantitative stereology, enabling food safety and, implementing a new perspective for food preservation analysis and processes.A microbiologia preditiva utiliza modelos matem?ticos para predizer o crescimento e multiplica??o de microrganismos, sendo utilizada como uma ferramenta para garantir a seguran?a dos alimentos. A estereologia quantitativa apresenta uma forma simples e confi?vel de medi??es de estruturas possibilitando uma substitui??o ? forma de determina??o dos modelos preditivos. O objetivo deste trabalho foi utilizar medi??es estereol?gicas como uma ferramenta para a microbiologia preditiva, substituindo os m?todos matem?ticos tradicionalmente utilizados. Foi utilizado como objeto de estudo o fungo Penicillium sp. Deste foram inoculadas 6 gotas distintas de uma solu??o preparada em ?gua peptonada 0,1% contendo 108 UFC/ml de esporos sobre o meio ?gar BDA geleificado em placa de Petri. As placas foram incubadas a 25?C, e fotografadas de 2 em 2 horas por 7 dias para observa??o do desenvolvimento das col?nias. As fotos foram tratadas utilizando o programa ImageJ?, obtendo-se o valor da ?rea individual das col?nias (AA), e a ?rea total (AT). Aplicando a estereologia quantitativa, foi poss?vel determinar uma equa??o para correlacionar AA e AT, obtendo-se o valor da Fra??o Volum?trica, isso tendo tratado os dados utilizando o programa Excel?. Ent?o procedeu-se ? elabora??o dos gr?ficos atrav?s do software Mathematica? e por fim foi ajustado um modelo matem?tico, curva de crescimento experimental do Penicillium sp., atrav?s do Excel?. O modelo linear foi o que melhor se adequou para representar o crescimento microbiano. O fungo apresentou uma taxa de adapta??o de 0 a 16 h, com pico de crescimento entre 50-58 h e at? ao fim de 168 h n?o observou-se decl?nio na curva de crescimento. Houve sobreposi??o das curvas de crescimento das 6 col?nias apresentando o mesmo perfil, relacionando-se ? caracter?stica de reprodu??o f?ngica. Realizou-se o ajuste linear atrav?s do coeficiente de determina??o (R2), obtendo-se o valor de 0,96, 0,99 e 0,98 para ajuste de 0-50h, 52-168h e o total de horas, respectivamente, considerados um bom ajuste. Os resultados encontrados possibilitaram visualizar uma nova t?cnica, para predi??o do desenvolvimento microbiol?gico, utilizando as ferramentas da estereologia quantitativa, viabilizando a seguran?a dos alimentos e, implementando uma nova perspectiva para an?lise e processos de conserva??o de alimentos.Submitted by Sandra Pereira (srpereira@ufrrj.br) on 2021-07-20T11:37:40Z No. of bitstreams: 1 2018 - L?via de Aquino Garcia Moura.pdf: 2007799 bytes, checksum: 4aa40d2a92d1fc371e2db44e68eaf18b (MD5)Made available in DSpace on 2021-07-20T11:37:40Z (GMT). No. of bitstreams: 1 2018 - L?via de Aquino Garcia Moura.pdf: 2007799 bytes, checksum: 4aa40d2a92d1fc371e2db44e68eaf18b (MD5) Previous issue date: 2018-03-26application/pdfhttps://tede.ufrrj.br/retrieve/65991/2018%20-%20L%c3%advia%20de%20Aquino%20%20Garcia%20Moura.pdf.jpgporUniversidade Federal Rural do Rio de JaneiroPrograma de P?s-Gradua??o em Ci?ncia e Tecnologia de AlimentosUFRRJBrasilInstituto de TecnologiaADRIO, J.L., ARNOLD, L.D. 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dc.title.por.fl_str_mv Caracteriza??o e Predi??o da cin?tica de crescimento microbiano via pr?ticas estereol?gicas
dc.title.alternative.eng.fl_str_mv Characterization and Prediction of microbial growth kinetics via stereological practices.
title Caracteriza??o e Predi??o da cin?tica de crescimento microbiano via pr?ticas estereol?gicas
spellingShingle Caracteriza??o e Predi??o da cin?tica de crescimento microbiano via pr?ticas estereol?gicas
Moura, L?via de Aquino Garcia
predi??o microbiana
estereologia quantitativa
seguran?a dos alimentos
microbial prediction
quantitative Stereology
food safety
Ci?ncia e Tecnologia de Alimentos
title_short Caracteriza??o e Predi??o da cin?tica de crescimento microbiano via pr?ticas estereol?gicas
title_full Caracteriza??o e Predi??o da cin?tica de crescimento microbiano via pr?ticas estereol?gicas
title_fullStr Caracteriza??o e Predi??o da cin?tica de crescimento microbiano via pr?ticas estereol?gicas
title_full_unstemmed Caracteriza??o e Predi??o da cin?tica de crescimento microbiano via pr?ticas estereol?gicas
title_sort Caracteriza??o e Predi??o da cin?tica de crescimento microbiano via pr?ticas estereol?gicas
author Moura, L?via de Aquino Garcia
author_facet Moura, L?via de Aquino Garcia
author_role author
dc.contributor.advisor1.fl_str_mv Melo, Nath?lia Ramos de
dc.contributor.advisor1ID.fl_str_mv 031.379.796-09
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/1836355123449583
dc.contributor.advisor-co1.fl_str_mv Assis, Weslley Luiz da Silva
dc.contributor.referee1.fl_str_mv Melo, Nath?lia Ramos de
dc.contributor.referee2.fl_str_mv Teodoro, Carlos Eduardo de Souza
dc.contributor.referee3.fl_str_mv Luchese, Rosa Helena
dc.contributor.authorID.fl_str_mv 115.970.077-06
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/7885709405833276
dc.contributor.author.fl_str_mv Moura, L?via de Aquino Garcia
contributor_str_mv Melo, Nath?lia Ramos de
Assis, Weslley Luiz da Silva
Melo, Nath?lia Ramos de
Teodoro, Carlos Eduardo de Souza
Luchese, Rosa Helena
dc.subject.por.fl_str_mv predi??o microbiana
estereologia quantitativa
seguran?a dos alimentos
topic predi??o microbiana
estereologia quantitativa
seguran?a dos alimentos
microbial prediction
quantitative Stereology
food safety
Ci?ncia e Tecnologia de Alimentos
dc.subject.eng.fl_str_mv microbial prediction
quantitative Stereology
food safety
dc.subject.cnpq.fl_str_mv Ci?ncia e Tecnologia de Alimentos
description Predictive microbiology uses mathematical models to predict the growth and multiplication of microorganisms and is used as a tool to ensure food safety. The quantitative stereology presents a simple and reliable form of measurements of structures allowing a substitution to the form of determination of the predictive models. The objective of this work was to use stereological measurements as a tool for predictive microbiology, replacing the traditionally used mathematical methods. The fungus Penicillium sp. From this, 6 different drops of a solution prepared in 0.1% peptone water containing 108 CFU / ml spores were inoculated onto the BDA agar agar medium gelled in Petri dishes. The plates were incubated at 25 ? C and photographed 2 in 2 hours for 7 days to observe the development of the colonies. The photos were treated using the ImageJ? program, obtaining the value of the individual area ofthe colonies (AA), and the total area (AT). Applying the quantitative stereology, it was possible to determine an equation to correlate AA and AT, obtaining the value of the Volumetric Fraction, this having treated the data using the Excel? program. Then, the graphs were elaborated through the software Mathematica? and finally a mathematical model, the experimental growth curve of Penicillium sp., was adjusted through Excel?. The linear model was the one best suited to represent microbial growth. The fungus presented an adaptation rate of 0 to 16 h, with growth peak between 50-58 h and until the end of 168 h no growth curve was observed. There were overlapping of the growth curves of the 6 colonies presenting the same profile, related to the characteristic of fungal reproduction. The linear adjustment was performed through the coefficient of determination (R2), obtaining a value of 0.96, 0.99 and 0.98 for adjustment of 0-50h, 52-168h and total hours, respectively, considered a good fit. The results allowed the visualization of a new technique for the prediction of microbiological development, using the tools of quantitative stereology, enabling food safety and, implementing a new perspective for food preservation analysis and processes.
publishDate 2018
dc.date.issued.fl_str_mv 2018-03-26
dc.date.accessioned.fl_str_mv 2021-07-20T11:37:40Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.citation.fl_str_mv MOURA, L?via de Aquino Garcia. Caracteriza??o e Predi??o da cin?tica de crescimento microbiano via pr?ticas estereol?gicas. 2018. 52 f. Disserta??o (Mestrado em Ci?ncia e Tecnologia de Alimentos) - Instituto de Tecnologia, Universidade Federal Rural do Rio de Janeiro, Serop?dica - RJ, 2018.
dc.identifier.uri.fl_str_mv https://tede.ufrrj.br/jspui/handle/jspui/4859
identifier_str_mv MOURA, L?via de Aquino Garcia. Caracteriza??o e Predi??o da cin?tica de crescimento microbiano via pr?ticas estereol?gicas. 2018. 52 f. Disserta??o (Mestrado em Ci?ncia e Tecnologia de Alimentos) - Instituto de Tecnologia, Universidade Federal Rural do Rio de Janeiro, Serop?dica - RJ, 2018.
url https://tede.ufrrj.br/jspui/handle/jspui/4859
dc.language.iso.fl_str_mv por
language por
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