User-friendly model for shelf-life prediction of food products treated by novel processing

2 Sep 2011

Results from FP7 collaborative project Novel Q


Abstract
There is a clear need to predict the shelf life of novel processing treated products. Within the NovelQ project, predictive modelling was performed including the entire production chain, e.g. ingredients (initial microbial load), effects of novel processing, packaging and storage. Shelf life was evaluated with respect to microbiology, quality and nutrients. The main factors determining quality and shelf-life were identified: initial quality and contamination, effect of novel processing, packaging and storage conditions. By linking these factors in a model it was possible to predict quality and shelf-life. A shelf life model for pulsed electric field and high pressure pasteurization treated orange juice was developed using data from the literature and insights from NovelQ This model can be applied to predict shelf life based upon microbial and enzymatic spoilage, and determination of processing conditions to obtain a desired shelf life. The model combines microbial inactivation and growth with enzyme inactivation, enzyme rest activity and quality. A user friendly interface was developed within the NovelQ project.

Stage of development:Guidelines, methodologies, technical drawings

Stage description:User-friendly model for shelf-life prediction of food products treated by novel processing was developed and tested by the NovelQ project

Property rights:Partnership/other contractual agreement(s)

Collaboration sought:Private-public partnership, Available for consultancy

Collaboration Detail:Interested (food companies) are invited to contact us to receive more information about the user-friendly model for shelf-life prediction of food products treated by novel processing and its application for their businesses.

Market applications:Foods, drinks

Source of support:National, CEC

Organization:TNO

Name:BOON, Floor

Position:Scientist

Address: Food & Biotechnology Innovations
Utrechtseweg 48
3700 AJ
Zeist
NEDERLAND