Objective
"The objective of the FOODSCAN project is to develop a novel and automated biosensor platform for pesticide and other chemical residue detection incorporating membrane-engineered cells with pesticide-specific antibodies. The system is primarily based on the Bioelectric Recognition Assay (BERA) technology. Furthermore a specially designed electronic interface is realized in order to acquire and manipulate the corresponding signals from the real time analysis.
The pre-production prototype developed during this project is a Bioelectric Recognition Assay (BERA) sensor aimed at the detection of organophosphate and carbamate pesticides, 2-methyl-4-chlorophenoxyalcanoic (MCPA), other phenoxyalcanoic herbicides, or other small organic contaminants, e.g. 2,4,6-trichloroanisole (TCA) (in cork and wine). The product is developed by an SME consortium based in Cyprus, Spain, Germany, Greece and Portugal with the support of RTD performers from the UK and Greece.
The European farming community is under a number of threats not least due to the increasing demands to produce higher quality food to increasingly stringent standards. They lack the technology to test their produce for the presence of pesticide residues at the site of production. If a system was developed that gave farmers, food companies and distributors the flexibility to test for a range of analytes regularly and in a cost effective way it would allow them to offer remedial solutions quicker than is currently possible.
The conventional analysis of pesticide residues in food commodities is a labour intensive procedure. Standard analysis methods include extensive sample pre-treatmentand determination by gas chromatography and high performance liquid chromatography to achieve the necessary selectivity and sensitivity for the different classes of compounds under detection. Therefore, rapid pesticide residue testing is necessary."
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 technology electrical engineering, electronic engineering, information engineering electronic engineering sensors biosensors
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
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.
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
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-SME-2011
See other projects for this call
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
14558 Bergholz Rehbrucke
Germany
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.