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Introduction to Integrated Predictive Modeling

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Predictive Modeling and RiskAssessment

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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.

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Author information

Authors and Affiliations

  1. College of Biotechnology, Catholic University of Portugal , Rua Dr. António Bernardino de Almeida, Porto, 4200-072, Portugal

    Teresa R. S. Brandāo & Cristina L. M. Silva

Authors
  1. Teresa R. S. Brandāo
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  2. Cristina L. M. Silva
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Editor information

Editors and Affiliations

  1. College of Agriculture of the Polytechnic Institute of Coimbra, Food Science and Technology Department, Bencanta, Coimbra, 3040-316, Portugal

    Rui Costa

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Brandāo, T.R.S., Silva, C.L.M. (2009). Introduction to Integrated Predictive Modeling. In: Costa, R., Kristbergsson, K. (eds) Predictive Modeling and RiskAssessment. Integrating Safety and Environmental Knowledge Into Food Studies towards European Sustainable Development, vol 4. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-68776-6_1

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