Objective
Microbial spoilage and contamination of fruit juices with filamentous fungi is a big problem for juice producers: 12.5-40% of juice is spoiled due to fungal contamination, that valued €4.3-14.0bn in loses annually for juice sector in Europe.
Mould identification and source tracking in the food industry, in particular in the juice industry, is difficult because current technologies rely mainly on visual identification. Therefore they have low sensitivity, they are slow and expensive.
The aim of FUST is to develop a system based on Fourier Transform Infrared (FTIR) Spectroscopy for food spoilage source tracking and identification of fungal contamination in the juice industry which overcomes these drawbacks.
The prototype to be developed within this project consists of a fully automated cultivation and liquid sample handling system for high-throughput FTIR spectroscopy and bespoke software and databases. For FTIR spectroscopy an off-the shelf routine instrument will be used.
The consortium consists of SMEs that will profit from the commercialization of this system in different ways. Labman Automation, an SME specialised in developing bespoke robotic systems, automation, and electronic solutions and the future integrator of the system, wishes to commercialize the complete solution including the automated system, industrial protocol, software and databases and an off-the shelf FTIR spectrometer. The target audience of Labmann Automation will be large food companies and microbial testing laboratories. The SME Synthon GmbH, an SME specialized on FTIR for bacteria and software solutions wants to license the software and databases to Labmann Automation. The SME ScanBi Diagnostics, a molecular testing lab, wants to establish the complete system in their lab and sell it as a service to small juice and food producers.
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.
- natural sciences computer and information sciences software
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering control systems
- natural sciences computer and information sciences databases
- social sciences sociology industrial relations automation
- natural sciences physical sciences optics spectroscopy
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Programme(s)
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Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-SME-2012
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Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
9291 Tromso
Norway
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.