This text investigates the mathematical and statistical frameworks required to predict and model the behavior of microorganisms within food systems. Author R.C. McKellar provides a comprehensive review of the field, synthesizing advancements in primary and secondary modeling techniques. The work serves as a technical reference for researchers and food safety professionals seeking to improve the accuracy of microbial growth and inactivation predictions.

Experts recognize this volume as a foundational resource for understanding the evolution of predictive microbiology over the last decade. Readers frequently note the technical density of the prose, which is tailored specifically for professionals and academics in the food safety sector.