Introduction to Integrated Predictive Modeling

  • Teresa R. S. Brandāo
  • Cristina L. M. Silva
Part of the Integrating Safety and Environmental Knowledge Into Food Studies towards European Sustainable Development book series (ISEKI-Food, volume 4)

When a mathematical model is properly developed, it is a potential tool for process design, assessment, and optimization. Using a mathematical expression that predicts a real observation with accuracy and precision is an efficient way to develop new products and to control systems. However, to attain a convenient model, a lot of well-guided experimental effort should be expended and the model should be validated. One should never forget that the model predicts one response in the range of experimental conditions tested and care should be taken when extrapolating to other operating conditions.

This chapter provides an introductory approach to concepts and methods involved in mathematical modeling, with particular focus on modeling quality and safety of food products.


Thermal Inactivation Osmotic Dehydration Inactivation Kinetic Food Engineer Food Microbiology 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  • Teresa R. S. Brandāo
    • 1
  • Cristina L. M. Silva
    • 1
  1. 1.College of BiotechnologyCatholic University of Portugal , Rua Dr. António Bernardino de AlmeidaPortoPortugal

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