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New Term to Quantify the Effect of Temperature on pH(min)-Values Used in Cardinal Parameter Growth Models for Listeria monocytogenes
The aim of this study was to quantify the influence of temperature on pH(min)-values of Listeria monocytogenes as used in cardinal parameter growth models and thereby improve the prediction of growth for this pathogen in food with low pH. Experimental data for L. monocytogenes growth in broth at dif...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6628878/ https://www.ncbi.nlm.nih.gov/pubmed/31338078 http://dx.doi.org/10.3389/fmicb.2019.01510 |
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author | Martinez-Rios, Veronica Gkogka, Elissavet Dalgaard, Paw |
author_facet | Martinez-Rios, Veronica Gkogka, Elissavet Dalgaard, Paw |
author_sort | Martinez-Rios, Veronica |
collection | PubMed |
description | The aim of this study was to quantify the influence of temperature on pH(min)-values of Listeria monocytogenes as used in cardinal parameter growth models and thereby improve the prediction of growth for this pathogen in food with low pH. Experimental data for L. monocytogenes growth in broth at different pH-values and at different constant temperatures were generated and used to determined pH(min)-values. Additionally, pH(min)-values for L. monocytogenes available from literature were collected. A new pH(min)-function was developed to describe the effect of temperatures on pH(min)-values obtained experimentally and from literature data. A growth and growth boundary model was developed by substituting the constant pH(min)-value present in the Mejlholm and Dalgaard (2009) model (J. Food. Prot. 72, 2132–2143) by the new pH(min)-function. To obtain data for low pH food, challenge tests were performed with L. monocytogenes in commercial and laboratory-produced chemically acidified cheese including glucono-delta-lactone (GDL) and in commercial cream cheese. Furthermore, literature data for growth of L. monocytogenes in products with or without GDL were collected. Evaluation of the new and expanded model by comparison of observed and predicted μ(max)-values resulted in a bias factor of 1.01 and an accuracy factor of 1.48 for a total of 1,129 growth responses from challenge tests and literature data. Growth and no-growth responses of L. monocytogenes in seafood, meat, non-fermented dairy products, and fermented cream cheese were 90.3% correctly predicted with incorrect predictions being 5.3% fail-safe and 4.4% fail-dangerous. The new pH(min)-function markedly extended the range of applicability of the Mejlholm and Dalgaard (2009) model from pH 5.4 to pH 4.6 and therefore the model can now support product development, reformulation or risk assessment of food with low pH including chemically acidified cheese and cream cheese. |
format | Online Article Text |
id | pubmed-6628878 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-66288782019-07-23 New Term to Quantify the Effect of Temperature on pH(min)-Values Used in Cardinal Parameter Growth Models for Listeria monocytogenes Martinez-Rios, Veronica Gkogka, Elissavet Dalgaard, Paw Front Microbiol Microbiology The aim of this study was to quantify the influence of temperature on pH(min)-values of Listeria monocytogenes as used in cardinal parameter growth models and thereby improve the prediction of growth for this pathogen in food with low pH. Experimental data for L. monocytogenes growth in broth at different pH-values and at different constant temperatures were generated and used to determined pH(min)-values. Additionally, pH(min)-values for L. monocytogenes available from literature were collected. A new pH(min)-function was developed to describe the effect of temperatures on pH(min)-values obtained experimentally and from literature data. A growth and growth boundary model was developed by substituting the constant pH(min)-value present in the Mejlholm and Dalgaard (2009) model (J. Food. Prot. 72, 2132–2143) by the new pH(min)-function. To obtain data for low pH food, challenge tests were performed with L. monocytogenes in commercial and laboratory-produced chemically acidified cheese including glucono-delta-lactone (GDL) and in commercial cream cheese. Furthermore, literature data for growth of L. monocytogenes in products with or without GDL were collected. Evaluation of the new and expanded model by comparison of observed and predicted μ(max)-values resulted in a bias factor of 1.01 and an accuracy factor of 1.48 for a total of 1,129 growth responses from challenge tests and literature data. Growth and no-growth responses of L. monocytogenes in seafood, meat, non-fermented dairy products, and fermented cream cheese were 90.3% correctly predicted with incorrect predictions being 5.3% fail-safe and 4.4% fail-dangerous. The new pH(min)-function markedly extended the range of applicability of the Mejlholm and Dalgaard (2009) model from pH 5.4 to pH 4.6 and therefore the model can now support product development, reformulation or risk assessment of food with low pH including chemically acidified cheese and cream cheese. Frontiers Media S.A. 2019-07-03 /pmc/articles/PMC6628878/ /pubmed/31338078 http://dx.doi.org/10.3389/fmicb.2019.01510 Text en Copyright © 2019 Martinez-Rios, Gkogka and Dalgaard. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Microbiology Martinez-Rios, Veronica Gkogka, Elissavet Dalgaard, Paw New Term to Quantify the Effect of Temperature on pH(min)-Values Used in Cardinal Parameter Growth Models for Listeria monocytogenes |
title | New Term to Quantify the Effect of Temperature on pH(min)-Values Used in Cardinal Parameter Growth Models for Listeria monocytogenes |
title_full | New Term to Quantify the Effect of Temperature on pH(min)-Values Used in Cardinal Parameter Growth Models for Listeria monocytogenes |
title_fullStr | New Term to Quantify the Effect of Temperature on pH(min)-Values Used in Cardinal Parameter Growth Models for Listeria monocytogenes |
title_full_unstemmed | New Term to Quantify the Effect of Temperature on pH(min)-Values Used in Cardinal Parameter Growth Models for Listeria monocytogenes |
title_short | New Term to Quantify the Effect of Temperature on pH(min)-Values Used in Cardinal Parameter Growth Models for Listeria monocytogenes |
title_sort | new term to quantify the effect of temperature on ph(min)-values used in cardinal parameter growth models for listeria monocytogenes |
topic | Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6628878/ https://www.ncbi.nlm.nih.gov/pubmed/31338078 http://dx.doi.org/10.3389/fmicb.2019.01510 |
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