11. Novel, Multi-Objective Optimization of Pulsed Electric Field Processing for Liquid Food Treatment

  1. Kai Knoerzer,
  2. Pablo Juliano,
  3. Peter Roupas and
  4. Cornelis Versteeg
  1. Jens Krauss,
  2. Özgür Ertunç,
  3. Cornelia Rauh and
  4. Antonio Delgado

Published Online: 16 FEB 2011

DOI: 10.1002/9780470959435.ch11

Innovative Food Processing Technologies: Advances in Multiphysics Simulation

Innovative Food Processing Technologies: Advances in Multiphysics Simulation

How to Cite

Krauss, J., Ertunç, Ö., Rauh, C. and Delgado, A. (2011) Novel, Multi-Objective Optimization of Pulsed Electric Field Processing for Liquid Food Treatment, in Innovative Food Processing Technologies: Advances in Multiphysics Simulation (eds K. Knoerzer, P. Juliano, P. Roupas and C. Versteeg), Blackwell Publishing Ltd., Oxford, UK. doi: 10.1002/9780470959435.ch11

Editor Information

  1. CSIRO Food and Nutritional Sciences, 671 Sneydes Road, Werribee, VIC 3030, Australia

Author Information

  1. Institute of Fluid Mechanics, Friedrich-Alexander University, Erlangen-Nuremberg, Cauerstrasse 4, D-91058 Erlangen, Germany

Publication History

  1. Published Online: 16 FEB 2011
  2. Published Print: 25 MAR 2011

ISBN Information

Print ISBN: 9780813817545

Online ISBN: 9780470959435

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Keywords:

  • novel, multi-objective optimization - of pulsed electric field processing in liquid food treatment;
  • optimization of PEFs - method for treating biological matter;
  • best known effects of PEF - permeabilization of biological cells;
  • modeling and simulation of fields induced by PEF - in food capable of flowing;
  • models for PEF-induced inactivation - two different modeling approaches, managing PEF-induced inactivation;
  • grid, structured, block structured or unstructured - complexity of geometry and capability of solver;
  • computational grid of colinear PEF chamber;
  • numerical optimization of treatment chamber - and PEF process;
  • classification of optimization algorithms;
  • PEF chamber optimization and PEF process optimization - using genetic algorithm, MOGA II (multi-objective genetic algorithm) of modeFrontier

Summary

This chapter contains sections titled:

  • Introduction

  • Modeling and Simulation of Fields Induced by PEF in Food Capable of Flowing

  • Numerical Optimization of Treatment Chamber and PEF Process

  • Conclusions and Outlook

  • Acknowledgments

  • Notation

  • References