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.
A user friendly web interface to every function in the package can be found in: https://foodlab-upct.shinyapps.io/bioinactivation4/
When using this package in scientific publications, please refer to it as:
Garre, A., Fernández, P. S., Lindqvist, R., & Egea, J. A. (2017). Bioinactivation: Software for modelling dynamic microbial inactivation. Food Research International, 93, 66–74. https://doi.org/10.1016/j.foodres.2017.01.012
Garre, A., Clemente-Carazo, M., Fernández, P. S., Lindqvist, R., & Egea, J. A. (2018). Bioinactivation FE: A free web application for modelling isothermal and dynamic microbial inactivation. Food Research International, 112, 353–360. https://doi.org/10.1016/j.foodres.2018.06.057