project . 2020 - 2022 . Closed

CoNVat

Combating 2019-nCoV: Advanced Nanobiosensing platforms for POC global diagnostics and surveillance
Open Access mandate for Publications
European Commission
Funder: European CommissionProject code: 101003544 Call for proposal: H2020-SC1-PHE-CORONAVIRUS-2020
Funded under: H2020 | RIA Overall Budget: 2,547,150 EURFunder Contribution: 2,547,150 EUR
Status: Closed
10 Mar 2020 (Started) 09 Sep 2022 (Ended)
Open Access mandate
Research data: No
Description
The recent outbreak in China caused by the emerging nCoV virus is challenging the level of global readiness from governments, public organizations and community to face and manage both its social and health consequences. Once the emergence is recognized and identified, it is crucial to initiate the necessary measures to prevent the spread. This involves therapeutics, vaccines, and devising efficient, fast, readily accessible diagnostics methods that specifically confirm the presence of the virus. Early detection can allow the rapid implementation of containment measures, which are the key to reduce the risk of amplification. The aim of CoNVat is to implement a Point-of-care label free biosensor for the direct, fast and specific identification of nCoV in decentralized settings to improve its early diagnosis and the clinical management of patients. The approach employs an already developed technology based on nanophotonic bimodal waveguide (BiMW) interferometers capable of providing real time, highly sensitive detections assays in short sample turnaround times. We propose two different strategies: (i) the development of a fast antigen-based diagnostic test for the specific detection of the intact virus in patient’s samples such as respiratory specimens and non-respiratory fluids (serum, urine…) to be deployed to clinical settings for initial screening and (ii) development of a multiplexed molecular test, PCR-free, for the reliable identification of nCoV, being possible to differentiate the type and strain of coronavirus form other related or more common respiratory viruses. This latter strategy will provide a disruptive diagnostic tool not only from a clinical perspective to improve patient’s outcome but also for surveillance, to study and understand possible transmission routes of this virus by analysing samples from animal reservoirs. Final prototype validation will demonstrate the potential of this approach for the management of future infectious outbreaks.
Data Management Plans