Innovative measurements and models for predicting shelf life of fresh foods during postharvest
by Josse De Baerdemaeker, Maarten Hertog, Bart Nicolai, Bart De Ketelaere
International Journal of Postharvest Technology and Innovation (IJPTI), Vol. 1, No. 1, 2006

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measures require proper statistical analysis as standard techniques from literature used with destructive sensors are no longer applicable.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.

Online publication date: Wed, 08-Mar-2006

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Postharvest Technology and Innovation (IJPTI):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com