Relevance of the Induced Stress Resistance When Identifying the Critical Microorganism for Microbial Risk Assessment
Decisions regarding microbial risk assessment usually have to be carried out with incomplete information. This is due to the large number of possible scenarios and the lack of specific data for the problem considered. Consequently, risk assessment studies are based on the information obtained with a...
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doaj-9336deb32190495f9ff5e8fc88155eb52020-11-25T00:04:46ZengFrontiers Media S.A.Frontiers in Microbiology1664-302X2018-07-01910.3389/fmicb.2018.01663386328Relevance of the Induced Stress Resistance When Identifying the Critical Microorganism for Microbial Risk AssessmentAlberto Garre0Jose A. Egea1Asunción Iguaz2Alfredo Palop3Pablo S. Fernandez4Departamento de Ingeniería de Alimentos y del Equipamiento Agrícola, Instituto de Biotecnología Vegetal, Universidad Politécnica de Cartagena (ETSIA), Cartagena, SpainDepartamento de Matemática Aplicada y Estadística, Universidad Politécnica de Cartagena, Antiguo Hospital de Marina (ETSII), Cartagena, SpainDepartamento de Ingeniería de Alimentos y del Equipamiento Agrícola, Instituto de Biotecnología Vegetal, Universidad Politécnica de Cartagena (ETSIA), Cartagena, SpainDepartamento de Ingeniería de Alimentos y del Equipamiento Agrícola, Instituto de Biotecnología Vegetal, Universidad Politécnica de Cartagena (ETSIA), Cartagena, SpainDepartamento de Ingeniería de Alimentos y del Equipamiento Agrícola, Instituto de Biotecnología Vegetal, Universidad Politécnica de Cartagena (ETSIA), Cartagena, SpainDecisions regarding microbial risk assessment usually have to be carried out with incomplete information. This is due to the large number of possible scenarios and the lack of specific data for the problem considered. Consequently, risk assessment studies are based on the information obtained with a small number of bacterial cells which are considered the most heat resistant and/or more capable of multiplying during storage. The identification of the most resistant strains is usually based on D and z-values, normally estimated from isothermal experiments. This procedure omits the potential effect that the shape of the dynamic thermal profile applied in industry has on the microbial inactivation. One example of such effects is stress acclimation, which is related to a physiological response of the cells during sub-lethal treatments that increases their resistance. In this article, we use a recently published mathematical model to compare the development of thermal resistance for Escherichia coli K12 MG1655 and E. coli CECT 515 using inactivation data already published for these strains. Based only on the isothermal experiments, E. coli K12 MG1655 would be identified as more resistant to the thermal treatment than the CECT 515 strain in the 50–65°C temperature range. However, we conclude that stress acclimation is strain (and/or media)-dependent; the CECT 515 strain has a higher capacity for developing a stress acclimation than K12 MG1655 (300% increase of the D-value for CECT 515, 50% for K12 MG1655). It, thus, has the potential to be more resistant to the thermal treatment than the K12 MG1655 strain for some conditions allowing acclimation. A methodology is proposed to identify for which conditions this may be the case. After calibrating the model parameters representing acclimation using real experimental data, the applicability of the proposed approach is demonstrated using numerical simulations, showing how the CECT 515 strain can be more resistant for some heating profiles. Consequently, the most resistant bacterial strain to a dynamic heating profile should not be identified based only on isothermal experiments (D- and z-value). The relevance of stress acclimation for the treatment studied should also be evaluated.https://www.frontiersin.org/article/10.3389/fmicb.2018.01663/fullmicrobial inactivationinduced stress resistancebacterial acclimationE. colithermal inactivation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Alberto Garre Jose A. Egea Asunción Iguaz Alfredo Palop Pablo S. Fernandez |
spellingShingle |
Alberto Garre Jose A. Egea Asunción Iguaz Alfredo Palop Pablo S. Fernandez Relevance of the Induced Stress Resistance When Identifying the Critical Microorganism for Microbial Risk Assessment Frontiers in Microbiology microbial inactivation induced stress resistance bacterial acclimation E. coli thermal inactivation |
author_facet |
Alberto Garre Jose A. Egea Asunción Iguaz Alfredo Palop Pablo S. Fernandez |
author_sort |
Alberto Garre |
title |
Relevance of the Induced Stress Resistance When Identifying the Critical Microorganism for Microbial Risk Assessment |
title_short |
Relevance of the Induced Stress Resistance When Identifying the Critical Microorganism for Microbial Risk Assessment |
title_full |
Relevance of the Induced Stress Resistance When Identifying the Critical Microorganism for Microbial Risk Assessment |
title_fullStr |
Relevance of the Induced Stress Resistance When Identifying the Critical Microorganism for Microbial Risk Assessment |
title_full_unstemmed |
Relevance of the Induced Stress Resistance When Identifying the Critical Microorganism for Microbial Risk Assessment |
title_sort |
relevance of the induced stress resistance when identifying the critical microorganism for microbial risk assessment |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Microbiology |
issn |
1664-302X |
publishDate |
2018-07-01 |
description |
Decisions regarding microbial risk assessment usually have to be carried out with incomplete information. This is due to the large number of possible scenarios and the lack of specific data for the problem considered. Consequently, risk assessment studies are based on the information obtained with a small number of bacterial cells which are considered the most heat resistant and/or more capable of multiplying during storage. The identification of the most resistant strains is usually based on D and z-values, normally estimated from isothermal experiments. This procedure omits the potential effect that the shape of the dynamic thermal profile applied in industry has on the microbial inactivation. One example of such effects is stress acclimation, which is related to a physiological response of the cells during sub-lethal treatments that increases their resistance. In this article, we use a recently published mathematical model to compare the development of thermal resistance for Escherichia coli K12 MG1655 and E. coli CECT 515 using inactivation data already published for these strains. Based only on the isothermal experiments, E. coli K12 MG1655 would be identified as more resistant to the thermal treatment than the CECT 515 strain in the 50–65°C temperature range. However, we conclude that stress acclimation is strain (and/or media)-dependent; the CECT 515 strain has a higher capacity for developing a stress acclimation than K12 MG1655 (300% increase of the D-value for CECT 515, 50% for K12 MG1655). It, thus, has the potential to be more resistant to the thermal treatment than the K12 MG1655 strain for some conditions allowing acclimation. A methodology is proposed to identify for which conditions this may be the case. After calibrating the model parameters representing acclimation using real experimental data, the applicability of the proposed approach is demonstrated using numerical simulations, showing how the CECT 515 strain can be more resistant for some heating profiles. Consequently, the most resistant bacterial strain to a dynamic heating profile should not be identified based only on isothermal experiments (D- and z-value). The relevance of stress acclimation for the treatment studied should also be evaluated. |
topic |
microbial inactivation induced stress resistance bacterial acclimation E. coli thermal inactivation |
url |
https://www.frontiersin.org/article/10.3389/fmicb.2018.01663/full |
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