SubsidieMeestersVibrations of viral particles scatter light
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.
Projectdetails
Introduction
Viruses are nanoparticles with well-defined size, shape, and elasticity in which acoustic waves are confined. This leads to the appearance of new vibration modes that correspond to the vibration of the virus particle as a whole object. The VIRUSong project aims at implementing and realizing a simple and radically new way to identify viral particles on the basis of these vibrations.
Challenges in Measurement
Inelastic light scattering spectroscopy (Raman and Brillouin) is usually a tool of choice to measure these vibrations, but for viruses, the effective scattering cross section is small. To overcome this drawback, the VIRUSong project will mainly focus on a few viruses of different size and structure.
Strategies for Identification
Two parallel strategies will be explored:
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Coupling with Nanoparticles: The project will focus on the coupling of viruses with nanoparticles of hard materials, which are very simple nano resonators (NPRs). The VIRUSong project aims at using them as antennas to collect and amplify the song of the virus particles (i.e., the vibrations of the virions).
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Stimulated Low-Frequency Inelastic Spectroscopy: The use of stimulated low-frequency inelastic spectroscopy will allow the label-free detection of any type of virus.
Analysis of Viral Families
To achieve these objectives, the project will analyze each selected family of viruses to determine their composition, size, shape, and mechanical properties.
Correlation with Artificial Intelligence
Finally, all this information will be correlated using artificial intelligence to identify a given virus based on its vibrational spectra.
Project Goals
By pushing the current limits of stimulated inelastic light scattering spectroscopy, designing nanoparticle resonators (NPRs), and implementing efficient artificial intelligence models, this project aims to develop the proof of concept of a new technology capable of identifying viral particles by light in a few minutes. This technology will achieve:
- High Selectivity: Specific vibrational signature.
- High Sensitivity: Down to the single viral particle.
Financiële details & Tijdlijn
Financiële details
| Subsidiebedrag | € 6.069.304 |
| Totale projectbegroting | € 6.069.304 |
Tijdlijn
| Startdatum | 1-9-2023 |
| Einddatum | 31-8-2027 |
| Subsidiejaar | 2023 |
Partners & Locaties
Projectpartners
- UNIVERSITE LYON 1 CLAUDE BERNARDpenvoerder
- LYON INGENIERIE PROJETS
- AGENCIA ESTATAL CONSEJO SUPERIOR DE INVESTIGACIONES CIENTIFICAS
- RIJKSUNIVERSITEIT GRONINGEN
- CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
- UNIVERSITAET SIEGEN
- NOSTICS BV
- UNIVERSITAET zu LUEBECK
- MIDDLE EAST TECHNICAL UNIVERSITY
Land(en)
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