Analysis and validation of a predictive model for growth and death of Aeromonas hydrophila under modified atmospheres at refrigeration temperatures

Specific growth and death rates of Aeromonas hydrophila were measured in laboratory media under various combinations of temperature, pH, and percent CO2 and O2 in the atmosphere. Predictive models were developed from the data and validated by means of observations obtained from (i) seafood experimen...

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Detalhes bibliográficos
Autores: George, Susan, Baranyi, József, García De Fernando Minguillón, Gonzalo Doroteo, Velasco De Diego, Raquel, Pin Arias, Carmen
Formato: artículo
Fecha de publicación:2004
País:España
Recursos:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/96755
Acesso em linha:https://hdl.handle.net/20.500.14352/96755
Access Level:acceso abierto
Palavra-chave:61
Tecnología de los alimentos
Microbiología (Veterinaria)
Funciones (Matemáticas)
3309.13 Conservación de Alimentos
3309.90 Microbiología de Alimentos
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spelling Analysis and validation of a predictive model for growth and death of Aeromonas hydrophila under modified atmospheres at refrigeration temperaturesGeorge, SusanBaranyi, JózsefGarcía De Fernando Minguillón, Gonzalo DoroteoVelasco De Diego, RaquelPin Arias, Carmen61Tecnología de los alimentosMicrobiología (Veterinaria)Funciones (Matemáticas)3309.13 Conservación de Alimentos3309.90 Microbiología de AlimentosSpecific growth and death rates of Aeromonas hydrophila were measured in laboratory media under various combinations of temperature, pH, and percent CO2 and O2 in the atmosphere. Predictive models were developed from the data and validated by means of observations obtained from (i) seafood experiments set up for this purpose and (ii) the ComBase database (http://www.combase.cc; http://wyndmoor.arserrc.gov/combase/). Two main reasons were identified for the differences between the predicted and observed growth in food: they were the variability of the growth rates in food and the bias of the model predictions when applied to food environments. A statistical method is presented to quantitatively analyze these differences. The method was also used to extend the interpolation region of the model. In this extension, the concept of generalized Z values (C. Pin, G. García de Fernando, J. A. Ordo´n˜ez, and J. Baranyi, Food Microbiol. 18:539-545, 2001) played an important role. The extension depended partly on the density of the model-generating observations and partly on the accuracy of extrapolated predictions close to the boundary of the interpolation region. The boundary of the growth region of the organism was also estimated by means of experimental results for growth and death rates.American Society for MicrobiologyUniversidad Complutense de Madrid20042004-01-0120042004-01-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.14352/96755reponame:Docta Complutenseinstname:Universidad Complutense de Madrid (UCM)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:docta.ucm.es:20.500.14352/967552026-06-02T12:44:21Z
dc.title.none.fl_str_mv Analysis and validation of a predictive model for growth and death of Aeromonas hydrophila under modified atmospheres at refrigeration temperatures
title Analysis and validation of a predictive model for growth and death of Aeromonas hydrophila under modified atmospheres at refrigeration temperatures
spellingShingle Analysis and validation of a predictive model for growth and death of Aeromonas hydrophila under modified atmospheres at refrigeration temperatures
George, Susan
61
Tecnología de los alimentos
Microbiología (Veterinaria)
Funciones (Matemáticas)
3309.13 Conservación de Alimentos
3309.90 Microbiología de Alimentos
title_short Analysis and validation of a predictive model for growth and death of Aeromonas hydrophila under modified atmospheres at refrigeration temperatures
title_full Analysis and validation of a predictive model for growth and death of Aeromonas hydrophila under modified atmospheres at refrigeration temperatures
title_fullStr Analysis and validation of a predictive model for growth and death of Aeromonas hydrophila under modified atmospheres at refrigeration temperatures
title_full_unstemmed Analysis and validation of a predictive model for growth and death of Aeromonas hydrophila under modified atmospheres at refrigeration temperatures
title_sort Analysis and validation of a predictive model for growth and death of Aeromonas hydrophila under modified atmospheres at refrigeration temperatures
dc.creator.none.fl_str_mv George, Susan
Baranyi, József
García De Fernando Minguillón, Gonzalo Doroteo
Velasco De Diego, Raquel
Pin Arias, Carmen
author George, Susan
author_facet George, Susan
Baranyi, József
García De Fernando Minguillón, Gonzalo Doroteo
Velasco De Diego, Raquel
Pin Arias, Carmen
author_role author
author2 Baranyi, József
García De Fernando Minguillón, Gonzalo Doroteo
Velasco De Diego, Raquel
Pin Arias, Carmen
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidad Complutense de Madrid
dc.subject.none.fl_str_mv 61
Tecnología de los alimentos
Microbiología (Veterinaria)
Funciones (Matemáticas)
3309.13 Conservación de Alimentos
3309.90 Microbiología de Alimentos
topic 61
Tecnología de los alimentos
Microbiología (Veterinaria)
Funciones (Matemáticas)
3309.13 Conservación de Alimentos
3309.90 Microbiología de Alimentos
description Specific growth and death rates of Aeromonas hydrophila were measured in laboratory media under various combinations of temperature, pH, and percent CO2 and O2 in the atmosphere. Predictive models were developed from the data and validated by means of observations obtained from (i) seafood experiments set up for this purpose and (ii) the ComBase database (http://www.combase.cc; http://wyndmoor.arserrc.gov/combase/). Two main reasons were identified for the differences between the predicted and observed growth in food: they were the variability of the growth rates in food and the bias of the model predictions when applied to food environments. A statistical method is presented to quantitatively analyze these differences. The method was also used to extend the interpolation region of the model. In this extension, the concept of generalized Z values (C. Pin, G. García de Fernando, J. A. Ordo´n˜ez, and J. Baranyi, Food Microbiol. 18:539-545, 2001) played an important role. The extension depended partly on the density of the model-generating observations and partly on the accuracy of extrapolated predictions close to the boundary of the interpolation region. The boundary of the growth region of the organism was also estimated by means of experimental results for growth and death rates.
publishDate 2004
dc.date.none.fl_str_mv 2004
2004-01-01
2004
2004-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.14352/96755
url https://hdl.handle.net/20.500.14352/96755
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv American Society for Microbiology
publisher.none.fl_str_mv American Society for Microbiology
dc.source.none.fl_str_mv reponame:Docta Complutense
instname:Universidad Complutense de Madrid (UCM)
instname_str Universidad Complutense de Madrid (UCM)
reponame_str Docta Complutense
collection Docta Complutense
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.300724

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