Objective
Freezing is a very widespread process within the food processing industry, being used not only to manufacture products that are consumed in frozen state, such as ice cream, frozen yoghurts, sorbets, etc, but also as a very important means of preserving fresh foodstuffs. However, freezing animal and plant tissues causes many irreversible physical and chemical changes within the food matrix, often leaving the final product with lower eating quality than when it was in the fresh state. Ice crystals represent one of the key contributors to quality degradation in frozen foods. As they grow in size, they exert additional stresses on fragile cellular structures and can damage emulsions and lead to negative product characteristics such as poor appearance, unacceptable texture and physical and nutritional product damage. In short, smaller ice crystals promote a better quality product and control of the crystal size distribution in the final product is one of the most important aspects for many freezing operations. As quality issues take increasing precedence among EU consumers, a key challenge facing frozen food manufacturers is how to reposition their products as health-friendly. Consumers not only instinctively believe that fresh food tastes better than frozen food- they also see frozen foods as cheap and inferior. In response, this project will build upon promising research in the ability of high powered ultrasound (HPU) to initiate ice nucleation and to control crystal size distribution in the frozen product during solidification of liquid food. Past research has also shown promise for HPU to shorten the freezing process and lead to a product of better quality. This project will design and develop a prototype HPU system for its industrial validation in food freezing facilities. It will be cost-effective and easy to operate and easily integrated with commercially available freezing equipment.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- engineering and technologyother engineering and technologiesfood technology
- natural sciencesphysical sciencesacousticsultrasound
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Topic(s)
Call for proposal
FP7-SME-2007-1
See other projects for this call
Funding Scheme
BSG-SME - Research for SMEsCoordinator
27572 Bremerhaven
Germany