Objective
"Thousands of chemicals contained in food packaging may potentially migrate into foods and result in consumer exposure. There is an increasing alarm about their potential toxicological effects since most of them lack data, while others (e.g. bisphenol A) have created significant debate because of their documented endocrine properties. This project, SafePack, aims to offer a publicly usable in silico strategy to establish rapidly and cost-efficiently the level of safety concern of packaging chemicals without animal toxicity testing. There has been already initiatives to screen packaging chemicals using in silico toxicology, but all of them use qualitative approaches, mainly mutagenicity predictions, suitable for hazard identification. However they do not provide information about hazard characterization (how much is needed for triggering a toxic effect) and even less about health risks. In toxicology, ""the dose makes the poisons"" and it is very important to address safety concern by balancing predicted toxicological alert with potential exposure as done in standard risk assessment. The SafePack project aims at a) fill the toxicological data gaps of large sets of packaging chemicals using computational tools to predict toxicities, b) compare predicted toxicological values with exposure to obtain Margins of Exposure (MoE), a powerful method to establish level of safety concern, c) implement the overall workflow in freely available VEGA platform to make it ready for free utilization. Thousands packaging chemicals will be compiled. A number of toxicity endpoints relevant for risk assessment will be sequentially screened using available in silico predictive models: mutagenicity, carcinogenic potency and chronic toxicity; also, endocrine activity and developmental toxicity will be covered. The quantitative predicted values will be compared to exposure estimates providing MoEs, the size of which determines the level of safety concern."
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.
- engineering and technology other engineering and technologies food technology food packaging
- medical and health sciences basic medicine toxicology
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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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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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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.
MSCA-IF-EF-SE - Society and Enterprise panel
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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) H2020-MSCA-IF-2017
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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.
1800 Vevey
Switzerland
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.