time_to_logreduction

Calculates the treatment time required to reach a given number of log reductions.

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

time_to_logreduction function

<dl><dt>n_logs</dt>
<dd>Numeric of length one indicating the number of log recutions</dd>
<dt>my_prediction</dt>
<dd>An object of class SimulInactivation</dd></dl>

Arguments

Time to reach X log reductions — time_to_logreduction

<dl>

<dt>n_logs</dt>
<dd>Numeric of length one indicating the number of log recutions</dd>


<dt>my_prediction</dt>
<dd>An object of class SimulInactivation</dd>

</dl>

time_to_logreduction: Time to reach X log reductions

Description

Usage

Arguments

Details