Illustrating how kinetic modeling can predict and control food quality from farm to fork, this authoritative resource:
- Applies kinetic models using general chemical, physical, and biochemical principles
- Introduces Bayesian statistics in kinetic modeling, virtually unchartered territory in the food science field
- Integrates food science, kinetics, and statistics to predict and control food quality attributes using computer models
- Uses real-world examples rather than hypothetical data to illustrate concepts
This essential reference is an indispensable guide to understanding all aspects of kinetic food modeling. Unlike many other kinetic volumes available, this book opens the door to the many untapped research opportunities in the food science realm where mathematical modeling can be applied.
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