Food Processing Operations Modeling: Design and Analysis, Second Edition

2nd Edition

Soojin Jun, Joseph M. Irudayaraj

CRC Press
Published November 27, 2008
Reference - 356 Pages - 80 B/W Illustrations
ISBN 9781420055535 - CAT# 55534

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The food industry is on the verge of making some serious advances in the food processing sector. If successful, tomorrow’s consumers will have unhindered access to safe, nutritious, and high-quality products via novel food processing technologies. Food Processing Operations Modeling: Design and Analysis, Second Edition demonstrates how to effectively use numerical modeling to predict the effects of food processing on targeted components. This non-destructive testing method virtually eliminates the health risks of under-processed food and maintains high nutritional values that are often lost in overcooked food.

Using a task-oriented approach, this second edition discusses basic and advanced modeling tools that allow researchers to predict and prevent worse-case scenarios, perform comprehensive analyses, and optimize system design and efficiency.

Contains Selected Applications of Thermal and Non-Thermal Processing Operations


  • Six new chapters on radio frequency heating, high-pressure processing, pulsed electric field treatment, fouling model on heat exchangers, ozone treatment, and UV radiation
  • Expanded scope to address innovative and up-to-date food processing technologies
  • Numerous real-world case studies
  • Updated information on infrared heating of biological materials and modeling electrical resistance heating of foods
  • Electromagnetic treatments (RF, Infrared, and UV) and fundamentals relative to heat and mass transfer, fluid flow, and stochastic processes
  • Synergistic effect of combined food processing techniques and its numerical simulation

Food processing methods are constantly improving in an effort to maintain safe, high-quality, and fresh-tasting products. Providing the theoretical basis for these cutting-edge techniques, this tried-and-tested reference provides indispensable insight into food systems modeling, while exploring applications for further research.


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