Buch, Englisch, 786 Seiten, Format (B × H): 183 mm x 260 mm, Gewicht: 1646 g
Reihe: Food Science and Technology
Buch, Englisch, 786 Seiten, Format (B × H): 183 mm x 260 mm, Gewicht: 1646 g
Reihe: Food Science and Technology
ISBN: 978-1-57444-614-2
Verlag: CRC Press
The level of quality that food maintains as it travels down the production-to-consumption path is largely determined by the chemical, biochemical, physical, and microbiological changes that take place during its processing and storage. Authored by an internationally respected food quality expert, Kinetic Modeling of Reactions in Foods demonstrates how to effectively capture these changes in an integrative fashion using mathematical models. Thus, kinetic modeling of food changes creates the possibility to control and predict food quality from a technological point of view.
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.
Zielgruppe
Professional
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Kinetic View on Food Quality. The Basics. Application of the Basics to Chemical, Biochemical, Physical, and Microbial Changes in the Food Matrix. Appendix A Some Calculus Rules. Appendix B Ways to Express Amounts of Reactants and Products. Appendix C Interconversion of Activity Coefficients Based on Mole Fractions, Molalities, and Molarities. Appendix D Differential and Integrated Rate Equations for Kinetic Models of Complex Reactions. Appendix E McMillan–Mayer and Lewis–Randall Framework and Equations for the Mean Spherical Approximation Theory. Appendix F Probability Laws and Probability Models. Appendix G Use of Matrix Notation in Model Representation and Regression Analysis. Appendix H Some Thermodynamic Activity Coefficient Models. Appendix I Reliability Engineering and the Weibull Model. List of Symbols and Units. Index.
