Arrhenius_iso

Returns the predicted logarithmic reduction in microbial count according
to Arrhenius model for the time, temperature and model parameters
given.

Functions for modelling microbial inactivation under
isothermal or dynamic conditions. The calculations are based on several mathematical models broadly
used by the scientific community and industry. Functions enable to make predictions for cases where the
kinetic parameters are known. It also implements functions for parameter estimation for isothermal and
dynamic conditions. The model fitting capabilities include an Adaptive Monte Carlo method for a Bayesian
approach to parameter estimation.

Alberto Garre

bioinactivation

Mathematical Modelling of (Dynamic) Microbial Inactivation

Pablo S. Fernandez

Jose A. Egea

Arrhenius_iso function

<dl><dt>time</dt>
<dd>numeric indicating the time at which the prediction is taken.</dd>
<dt>temp</dt>
<dd>numeric indicating the temperature of the treatment.</dd>
<dt>k_ref</dt>
<dd>numeric indicating the inactivation rate at the reference
temperature.</dd>
<dt>temp_ref</dt>
<dd>numeric indicating the reference temperature.</dd>
<dt>Ea</dt>
<dd>numeric indicating the activation energy.</dd></dl>

Arguments

Isothermal Arrhenius model — Arrhenius_iso

<dl>

<dt>time</dt>
<dd>numeric indicating the time at which the prediction is taken.</dd>


<dt>temp</dt>
<dd>numeric indicating the temperature of the treatment.</dd>


<dt>k_ref</dt>
<dd>numeric indicating the inactivation rate at the reference
temperature.</dd>


<dt>temp_ref</dt>
<dd>numeric indicating the reference temperature.</dd>


<dt>Ea</dt>
<dd>numeric indicating the activation energy.</dd>

</dl>

Arrhenius_iso: Isothermal Arrhenius model

Description

Usage

Value

Arguments