Objective
Food fraud and mislabeling undermine public trust in the food industry and regulatory bodies. The scale of these issues is heightened by the so-called Protein Gap.
PeptInsure offers a new solution to authentication of protein in the food and feed industries by leveraging the strengths of ZooMS for peptide mass fingerprinting (PMF) and the novel LAP-MALDI technology, enhancing the specificity, affordability, and efficacy of protein analysis.
This unique combination, alongside advanced software tools, enables PeptInsure to transcend the limitations of existing methods, such as specificity issues, costliness, and the impact of processing on detectability, positioning it as a pioneering solution capable of redefining protein analysis standards. These factors combine to position PeptInsure as a pioneering approach that could redefine standards for protein analysis in food and feed, with implications for safety, quality, and consumer trust. While existing methods each contribute valuable tools for protein analysis in food and feed, they are often hampered by limitations related to specificity, cost, and the impact of processing on detectability. PeptInsure's innovative integration of technologies aims to overcome these challenges, offering a comprehensive, reliable, and cost-effective solution for protein authentication and quality assurance in the food industry. If successful, PeptInsure stands to offer groundbreaking innovations in the field of protein analysis, with far-reaching implications for food safety, quality assurance, and market integrity.
However, the project's high-risk elements, including the integration of complex technologies, adaptation to diverse matrices, and the need for advanced data analysis approaches, pose significant challenges. Overcoming these challenges will require innovative solutions, interdisciplinary collaboration, and a commitment to research and development, underscoring the high-risk/high-gain nature of the PeptInsure project.
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: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences software
- natural sciences biological sciences biochemistry biomolecules proteins
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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.
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HORIZON.1.1 - European Research Council (ERC)
MAIN PROGRAMME
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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.
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.
HORIZON-ERC-POC - HORIZON ERC Proof of Concept Grants
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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.
(opens in new window) ERC-2024-POC
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
CB2 1TN CAMBRIDGE
United Kingdom
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.