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Variability in Cell Response of Cronobacter sakazakii after Mild-Heat Treatments and Its Impact on Food Safety

Overview of attention for article published in Frontiers in Microbiology, April 2016
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Title
Variability in Cell Response of Cronobacter sakazakii after Mild-Heat Treatments and Its Impact on Food Safety
Published in
Frontiers in Microbiology, April 2016
DOI 10.3389/fmicb.2016.00535
Pubmed ID
Authors

Julio Parra-Flores, Vijay Juneja, Gonzalo Garcia de Fernando, Juan Aguirre

Abstract

Cronobacter spp. have been responsible for severe infections in infants associated with consumption of powdered infant formula and follow-up formulae. Despite several risk assessments described in published studies, few approaches have considered the tremendous variability in cell response that small micropopulations or single cells can have in infant formula during storage, preparation or post process/preparation before the feeding of infants. Stochastic approaches can better describe microbial single cell response than deterministic models as we prove in this study. A large variability of lag phase was observed in single cell and micropopulations of ≤50 cells. This variability increased as the heat shock increased and growth temperature decreased. Obviously, variability of growth of individual Cronobacter sakazakii cell is affected by inoculum size, growth temperature and the probability of cells able to grow at the conditions imposed by the experimental conditions should be taken into account, especially when errors in bottle-preparation practices, such as improper holding temperatures, or manipulation, may lead to growth of the pathogen to a critical cell level. The mean probability of illness from initial inoculum size of 1 cell was below 0.2 in all the cases and for inoculum size of 50 cells the mean probability of illness, in most of the cases, was above 0.7.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 13%
Student > Bachelor 4 10%
Other 4 10%
Student > Ph. D. Student 4 10%
Student > Doctoral Student 2 5%
Other 4 10%
Unknown 16 41%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 13%
Biochemistry, Genetics and Molecular Biology 4 10%
Immunology and Microbiology 3 8%
Medicine and Dentistry 2 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 4 10%
Unknown 20 51%
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 19 April 2016.
All research outputs
#20,322,106
of 22,865,319 outputs
Outputs from Frontiers in Microbiology
#22,474
of 24,875 outputs
Outputs of similar age
#253,483
of 299,207 outputs
Outputs of similar age from Frontiers in Microbiology
#468
of 555 outputs
Altmetric has tracked 22,865,319 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,875 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 555 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.