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E. coli and B. cereus inactivation at subMIC carvacrol concentrations (Model&Data)

Authors: Martínez-López, Nerea; Pedreira, Adrián; García, Míriam R.;

E. coli and B. cereus inactivation at subMIC carvacrol concentrations (Model&Data)

Abstract

SubMIC_Carvacrol: A predictive microbiology framework to determine the effect of Subinhibitory concentrations (working under the Minimal Inhibitory Concentration) of Carvacrol on the foodborne bacterial species Escherichia coli and Bacillus cereus. The code in the repository provides experimental data and (model-based) estimated parameters to simulate the inactivation dynamics of Escherichia coli and Bacillus cereus viable counts (CFUs/mL) under different subinhibitory concentrations of Carvarol (mg/mL) during a time-lapse of 48 hours. The code integrates the mathematical model introduced in the article (soon-to-come) to explain the experimental data. The estimation of the model parameters to fit the data was performed using the MATLAB optimization toolbox AMIGO2, freely available at: https://sites.google.com/site/amigo2toolbox . Two codes are provided in the repository: the one titled Carvacrol_Inhibition_of_Ecoli_Bcereus-Model&Data.m, to be run in the commercial computing software MATLAB, and the other named Carvacrol_Inhibition_of_Ecoli_Bcereus-Model&Data.m, to be run in the free software for statistical computing R. The code has been kept simple so that the user can introduce different parameter values and/or experimental data to simulate the model.

We thanks the grants RTI2018-093560-J-I00 funded by MCIN/AEI/10.13039/501100011033, "ERDF A way of making Europe", the CSIC grant 20213AT001 and the Xunta de Galicia grants IN606A-2020/028 and IN607B-2021/11.

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Keywords

Carvacrol; E.coli; B. cereus; CFUs data; OD; dynamic modelling; inactivation kinetics

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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