Book Handbook of Predictive Microbiology Growth Models Using R

The Handbook of Predictive Microbiology Growth Models in R is a resource book covering some units of the International Workshop Predictive Modelling in Foods, a two-level course designed by the authors and imparted in 2014, 2017 and 2019. It provides an overview of the classical predictive microbiology models used to describe the growth of microbial populations, and the responses of their kinetic parameters to environmental conditions and intrinsic food properties. This handbook is divided into three sections, Experimental Design, Growth Primary Models and Growth Secondary Models, comprising a total of 20 chapters. Through the many R scripts explained in this handbook, the reader will learn how to address typical issues in predictive microbiology, such as design of experiments, fitting of linear and nonlinear models, assessment and comparison of models, prediction from fitted models and graph building. The present handbook is intended to be the accompanying book for future workshops/courses taught by the authors or other predictive microbiology practitioners, or a beginner’s guide for self-study. It was published using the bookdown package of the R software.