Modeling Microbial Responses in Food

Modeling Microbial Responses in Foods is the first state-of-the-art review of this dynamic field in a decade. The comprehensive coverage includes basic approaches, such as improvements in the development of primary and secondary models, statistical fitting strategies, and novel data collection methods. The authors explore important developing areas, including specific applications, challenges in applying models to foods, variability and uncertainly, and new modeling strategies. They provide detailed descriptions of non-linear regression fitting, methods, and approaches relevant to 'real world' situations, and extensive applications of predictive models.

Robin C. McKellar, Xuewen Lu

Experimental Design & Data Collection. Primary Models. Secondary Models. Model Fitting and Uncertainty. Challenge of Food and the Environment. Software Programs to Increase the Utility of Predictive Microbiology Information. Modeling Microbial Dynamics Under Time-Varying Conditions. Predictive Microbiology in Quantitative Risk Assessment. Modeling the History Effect on Microbial Growth and Survival. Models: What Comes After the Next Generation? Predictive Mycology. An Essay on the Unrealized Potential of Predictive Microbiology.