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Development of a food temperature prediction model for real time food quality assessment.

Author(s) : SONG H., KIM J., KIM B. S., et al.

Type of article: Article, IJR article

Summary

Multilayer food temperature models considering the spatial temperature distribution in the food were developed to predict temporal temperature changes experienced by food during distribution considering the surrounding temperature, initial food temperature, and the predetermined surface heat transfer coefficient. Parameters used in the models were determined using the results of unsteady three-dimensional computational fluid dynamics simulations for the conjugated heat transfer problem between the food and surroundings. Models were validated by comparing model predictions with the food temperature experimentally measured under fluctuating temperature conditions with a mean absolute deviation of less than 1°C.

The developed food temperature model was integrated with a freshness monitoring model to complete the real-time food quality monitoring system. Food quality prediction using the integrated food quality monitoring system was validated for eggs and milk. Quality predictions using the food temperature model showed better accuracy than when using a single point measurement of food temperature.

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Format PDF

Pages: 468-479

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Details

  • Original title: Development of a food temperature prediction model for real time food quality assessment.
  • Record ID : 30025419
  • Languages: English
  • Source: International Journal of Refrigeration - Revue Internationale du Froid - vol. 98
  • Publication date: 2019/02
  • DOI: http://dx.doi.org/10.1016/j.ijrefrig.2018.11.032

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