Alvarenga V. Basic Protocols in Predictive Food Microbiology 2023

Textbook in PDF format

This volume details well-established protocols and procedures being used by laboratories and the industry to study Predictive Microbiology in Foods. Chapters guide readers through methods to design and collect data to generate predictive models, the development of a predictive model, approaches the behavior mainly, and experiments in predictive microbiology. Written in the format of the Methods and Protocols in Food Science series, chapters list necessary materials and methods for readily reproducible protocols. Authoritative and cutting-edge, Predictive Food Microbiology aims to be a foundation for future studies and to be a source of inspiration for new investigations in the field.
Basic Concepts for Predictive Microbiology
Methods of Inoculation and Quantification for Collecting Data on Microbial Responses in Foods
The Influence of Food Matrices on Microbial Growth
Primary Predictive Models of Microbial Growth
A Protocol for Predictive Modeling of Microbial Inactivation Based on Experimental Data
Growth/No-Growth Microbial Models in Food Science
Individual Cell-Based Modeling for Microbial Growth and Inactivation Using Time-Lapse Microscopy
Dynamic Models for Predictive Microbiology
Mathematical Simulation of the Bio-Protective Effect of Lactic Acid Bacteria on Foodborne Pathogens
Acceptable Prediction Zones Method for the Validation of Predictive Models for Foodborne Pathogens
Predictive Modeling for Spoilage Microorganisms
Quantitative PCR Technique for Predictive Models