Bigelow_iso

Returns the predicted logarithmic reduction in microbial count according
to Bigelow's 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

Bigelow_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>z</dt>
<dd>numeric defining the z-value.</dd>
<dt>D_R</dt>
<dd>numeric defining the D-value at the reference temperature.</dd>
<dt>temp_ref</dt>
<dd>numeric defining the reference temperature.</dd></dl>

Arguments

Isothermal Bigelow's Model — Bigelow_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>z</dt>
<dd>numeric defining the z-value.</dd>


<dt>D_R</dt>
<dd>numeric defining the D-value at the reference temperature.</dd>


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

</dl>

Bigelow_iso: Isothermal Bigelow's Model

Description

Usage

Value

Arguments