Nanowire device for single virus delivery and sensing in vacuum
VIR-Quantify aims to develop a novel technology for rapid, sensitive airborne virus detection and infectivity assessment, enhancing public health response and enabling commercialization.
Projectdetails
Introduction
Airborne viruses causing respiratory diseases represent a major global health threat, being viruses with RNA genomes from animal reservoirs highly likely to cause further public health emergencies in the future.
Project Overview
VIR-Quantify aims to provide proof of concept for a technology capable of highly sensitive, fast, and untargeted airborne virus detection with infectivity assessment, providing a comparative advantage in the competitive landscape. VIR-Quantify builds upon an unprecedented application of NMS sensors to the field of airborne viral particles detection (methodology developed and patented by the PI in the framework of a previous ERC CoG).
Methodology
VIR-Quantify proposes the use of ionic liquids to preserve the virus structure, together with nanowire sensors that allow mass and stiffness measurements for identification and infectivity studies of the pathogens. The innovative solution lies in two fronts:
- An unprecedented capability to measure with high throughput (30 particles/minute) the stiffness of intact viruses to infer their infectivity potential, not achievable with other techniques.
- The capability to count and characterize all the viral particles present in the liquid sample without loss of bioanalytes during the measurements.
Goals and Impact
VIR-Quantify aims to exploit the novel technology for on-site identification and quantification of airborne viral particles and validate the innovation potential of such a technological tool for commercialization by developing a market entry strategy built upon IPR consolidation and spin-off set-up.
This will lead to high-gain, disruptive outcomes in the form of unprecedented mechanistic understanding for detecting the quick spread of airborne viral particles with great socioeconomic benefits visible at three levels:
- Fueling industrial innovation and economic growth in a game-changing sector (preventive medicine).
- Reducing healthcare costs worldwide, thus enabling more resilient and efficient health systems.
- Improving human welfare.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 150.000 |
Totale projectbegroting | € 150.000 |
Tijdlijn
Startdatum | 1-7-2024 |
Einddatum | 31-12-2025 |
Subsidiejaar | 2024 |
Partners & Locaties
Projectpartners
- AGENCIA ESTATAL CONSEJO SUPERIOR DE INVESTIGACIONES CIENTIFICASpenvoerder
Land(en)
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Quartz On-chip for Virus Detection
QOVID aims to develop cost-efficient, user-friendly Bio-MEMS sensors for rapid and accurate detection of SARS-CoV-2, bridging the gap between MEMS technology and biomedicine.
Deciphering the nanobiophysics of virus-host interactions in 3D cellular systems
This project aims to elucidate virus-host interactions during entry in 3D environments using advanced nanotechniques, potentially leading to new antiviral drug discoveries.
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This project aims to enhance imaging technology to study early infection processes of negative-sense RNA viruses, focusing on RSV to understand viral propagation and inform therapeutic strategies.
Novel ApameR-Based Rapid Test Technology for Virus Detection
Developing a cost-effective RNA aptamer-based sensor for rapid point-of-care testing of avian influenza, meeting WHO ASSURED criteria, to enhance pathogen detection and containment.
Virus Inhibition by siRNA Optimized by NMR
This project aims to develop a novel class of siRNA molecules targeting SARS-CoV-2 variants using structural biology, with potential applications for other pathogenic viruses.
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The VIRUSong project aims to develop a novel technology for rapid and sensitive identification of viral particles using vibrational spectroscopy and nanoparticle resonators, enhanced by AI analysis.
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Aligned Bio's project aims to achieve TRL9 by developing a cost-effective method for mass-producing high-quality nanowire sensors, enhancing biomarker detection sensitivity by 20 times.
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