Simulation of Dynamic Microbial Inactivation

Prediction and adjustment to experimental data of microbial inactivation. Several models available in the literature are implemented.

The bioinactivation package implements several function for the modelization of microbial inactivation in R. It includes:

  • functions for the prediction of isothermal or non-isothermal microbial inactivation.
  • functions for the adjustment of inactivation models to isothermal experiments.
  • functions for the fitting of inactivation models to dynamic experiments.
  • functions for the calculation of prediction intervals for isothermal or non-isothermal microbial inactivation processes.

The inactivation models most commonly used in industry and academia are implemented in this package:

  • Bigelow's model.
  • Peleg's model.
  • Mafart's model.
  • Geeraerd's model.

Furthermore, this package includes some training data sets mimicking isothermal and non-isothermal inactivation experiments.


Reference manual

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1.1.5 by Alberto Garre, 10 months ago

Browse source code at

Authors: Alberto Garre [aut, cre], Pablo S. Fernandez [aut], Jose A. Egea [aut]

Documentation:   PDF Manual  

GPL-3 license

Imports dplyr, deSolve, FME, lazyeval, ggplot2, MASS, graphics, stats

Suggests knitr, testthat

Imported by bioOED.

See at CRAN