Model based process optimization and shelf-life assessments
Duration Month 1-48
Objectives
- Identify the most common fungal, mycotoxin and modified mycotoxin contaminants of the studied berries,
- Construction of a comparative risk assessment system for evaluating and ranking fungal and mycotoxin hazards,
- model-based process optimisation for the production of safe and stable products.
Partners Involved
- REZOS BRANDS ANONYMI EMPORIKI ETERIA IDON DIATROFIS
- NATIONAL TECHNICAL UNIVERSITY OF ATHENS – NTUA
- GEOPONIKO PANEPISTIMION ATHINON
- TECHNOLOGIKO PANEPISTIMIO KYPROU
- UNIVERSITATEA DE STIINTE AGRICOLE SI MEDICINA VETERINARA CLUJ NAPOCA
- UNIVERSITA TA MALTA
- UNIVERSITY OF HUDDERSFIELD
- DIGNITY PRIVATE COMPANY
- Gogou E.-Soulis M. Fysika Prostheta Trofimon OE, Natural Food Additive-NFA
- MOUNTAIN BERRIES PITSILIA N.V. LTD
- KPAD LTD
- CENCIRA CENTRUL DE CERCETARE SI INOVARE AGROALIMENTARA SRL
- Mgarr Farming Ltd
Some more details on deliverables
D5.1 : QMEA models and optimisation strategies to control mycotoxin and spoilage risk of berries [Month 48]
Probabilistic models will be developed to allow the evaluation of mycotoxin and fungal risks during the different production scenarios of the preserved berries. The optimal conditions for controlling the microbial risks in berries and the effect of edible coating and drying will be identified
Milestones
MS5. QMEA Model framework
Framework model for partner review
MS6. Process optimization, shelf life assessments
Scenarios developed for partner review
