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Relevance of the Induced Stress Resistance When Identifying the Critical Microorganism for Microbial Risk Assessment

Overview of attention for article published in Frontiers in Microbiology, July 2018
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Title
Relevance of the Induced Stress Resistance When Identifying the Critical Microorganism for Microbial Risk Assessment
Published in
Frontiers in Microbiology, July 2018
DOI 10.3389/fmicb.2018.01663
Pubmed ID
Authors

Alberto Garre, Jose A. Egea, Asunción Iguaz, Alfredo Palop, Pablo S. Fernandez

Abstract

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.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 16%
Student > Master 3 9%
Student > Doctoral Student 3 9%
Other 2 6%
Student > Bachelor 2 6%
Other 5 16%
Unknown 12 38%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 22%
Environmental Science 2 6%
Engineering 2 6%
Psychology 2 6%
Business, Management and Accounting 1 3%
Other 3 9%
Unknown 15 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 July 2018.
All research outputs
#15,540,879
of 23,096,849 outputs
Outputs from Frontiers in Microbiology
#15,434
of 25,270 outputs
Outputs of similar age
#209,616
of 329,806 outputs
Outputs of similar age from Frontiers in Microbiology
#467
of 741 outputs
Altmetric has tracked 23,096,849 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 25,270 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one is in the 30th percentile – i.e., 30% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 329,806 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 741 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.