Int. J. of Postharvest Technology and Innovation   »   2006 Vol.1, No.1

 

 

Title: Innovative measurements and models for predicting shelf life of fresh foods during postharvest

 

Author: Josse De Baerdemaeker, Maarten Hertog, Bart Nicolai, Bart De Ketelaere

 

Addresses:
BIOSYST-MeBioS, Faculty of Bioscience Engineering, Katholieke Universiteit Leuven, Kasteelpark Arenberg 30, 3001 Leuven, Belgium.
BIOSYST-MeBioS, Faculty of Bioscience Engineering, Katholieke Universiteit Leuven, W. de Croylaan 42, 3001 Leuven, Belgium.
BIOSYST-MeBioS, Faculty of Bioscience Engineering, Katholieke Universiteit Leuven, W. de Croylaan 42, 3001 Leuven, Belgium.
BIOSYST-MeBioS, Faculty of Bioscience Engineering, Katholieke Universiteit Leuven, Kasteelpark Arenberg 30, 3001 Leuven, Belgium

 

Abstract: Using non-destructive sensors, quality changes of individual products can be monitored over time. This elucidates the biological variability within a batch. Repeated measures require proper statistical analysis as standard techniques from literature used with destructive sensors are no longer applicable. Therefore, the concept of mixed models is introduced. The mixed model concept allows quantitative analysis of different sources of variability, even as a function of storage time. An alternative model approach was developed by combining kinetic models with the concept of biological age as a random variable. The quantification of biological variability is of great importance but was never accounted for before. Data obtained with non-destructive sensors can be used to calibrate mathematical models that describe quality change under variable storage and handling conditions. These models allow shelf life prediction based on the preferences of different consumer groups which will be the basis for future supply chain management.

 

Keywords: innovation; postharvest measurements; prediction models; shelf life prediction; fresh foods; mixed models; non-destructive sensors; biological variability; kinetic models; biological age; quality change; supply chain management; SCM; postharvest storage.

 

DOI: 10.1504/IJPTI.2006.009180

 

Int. J. of Postharvest Technology and Innovation, 2006 Vol.1, No.1, pp.32 - 47

 

Available online: 08 Mar 2006

 

 

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