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Related Experiment Videos

Simple models for assessing migration from food-packaging films.

D Chung1, S E Papadakis, K L Yam

  • 1Department of Food Science, Rutgers University, 65 Dudley Road, New Brunswick, NJ 08901, USA.

Food Additives and Contaminants
|June 4, 2002
PubMed
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Two common food packaging migration models show errors for partitioned migration. A new, more realistic model offers significantly improved diffusion coefficient estimates for partitioned migration scenarios.

Area of Science:

  • Food Science
  • Polymer Science
  • Chemical Engineering

Background:

  • Two models based on Fick's Second Law are widely used for assessing additive and contaminant migration from food packaging.
  • These models accurately estimate diffusion coefficients for complete migration but introduce errors in cases of significant partitioning.

Purpose of the Study:

  • To define the applicability of existing migration models to partitioned migration scenarios.
  • To identify and analyze the estimation errors of current models when dealing with partitioned migration.
  • To propose a novel, more accurate migration model for partitioned systems.

Main Methods:

  • Analysis of the assumptions and derivations of two established Fick's Second Law-based migration models.
  • Examination of the error propagation in diffusion coefficient estimation for partitioned migration.

Related Experiment Videos

  • Development and validation of a new migration model incorporating more realistic assumptions.

    • Main Results:

    • The study identified considerable estimation errors in existing models for significantly partitioned migration.
    • The proposed simple migration model demonstrated superior accuracy in estimating diffusion coefficients for partitioned migration.
    • The new model's performance significantly surpasses that of the two traditional models.

    Conclusions:

    • Existing Fick's Second Law models have limitations when applied to partitioned migration in food packaging.
    • A newly proposed migration model offers a more accurate approach for assessing partitioned migration.
    • The improved model enhances the reliability of diffusion coefficient estimations in complex food-contact material scenarios.