Objective
Chemical analysis of unknown samples is a vital measurement in a variety of sectors, from protein characterisation, identifying illicit and counterfeit drugs (est. €3bn cost to the industry), pharmaceutical quality control through to security applications (e.g. detection of explosives). There is a major security requirement is for a new reliable detection method of explosives, especially at soft targets. The ideal solution is a robust in-situ method for rapid non-invasive detection of hazardous materials, including explosives, that is portable and can be located at borders, ports and other sensitive targets around Europe.
The most powerful and promising method being adopted for in-situ observations of suspicious substances to detect explosive is Raman spectroscopy. All molecules provide a unique Raman signature making the method very flexible and effective. However, Raman observations thus far have proven unreliable in the field, due to the very weak signal strength, background fluorescence masking this signal and complicated spectral returns that are difficult to interpret in the field.
In this project ISI will seek to develop an Advanced Intelligent Raman system (AIRS) that builds on the strengths of the Raman observational approach, and dramatically reduces it current limitations of existing instrumentation.
AIRS will achieve this by combining three technology development to produce a new portable easy to use chemical identification instrument. Specifically the instrument will use a Time resolved measurement technique using advanced detector technologies to remove the fluorescence and improve the signal to noise of observations. Machine learning analysis tools to interpret instrument returns in the field quickly and efficiently allowing for multiple species to be identified. This will be combined with a new class of static Fourier transform spectrometer to increase the light capture and hence the sensitivity of the instrument.
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 electrical engineering, electronic engineering, information engineering electronic engineering sensors
- natural sciences computer and information sciences artificial intelligence machine learning
- natural sciences physical sciences optics laser physics
- natural sciences physical sciences theoretical physics particle physics photons
- natural sciences physical sciences optics spectroscopy
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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.3.7. - Secure societies - Protecting freedom and security of Europe and its citizens
MAIN PROGRAMME
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H2020-EU.2.3.1. - Mainstreaming SME support, especially through a dedicated instrument
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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.
SME-1 - SME instrument phase 1
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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-SMEInst-2014-2015
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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.
BR7 6HX CHISLEHURST
United Kingdom
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
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.