Vibrations 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.

Subsidie
€ 6.069.304
2023

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.

Project Aim

The VIRUSong project aims at implementing and realizing a simple and radically new way to identify viral particles on the basis of these vibrations.

Methodology

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 sizes and structures, and two parallel strategies will be explored:

  1. Coupling with Nanoparticles:

    • The coupling of viruses with nanoparticles of hard materials, which are very simple nano resonators (NPRs).
    • The project aims at using them as antennas to collect and amplify the song of the virus particles (i.e., the vibrations of the virions).
  2. Stimulated Low-Frequency Inelastic Spectroscopy:

    • The use of stimulated low-frequency inelastic spectroscopy that will allow the label-free detection of any type of virus.

Analysis

To achieve these objectives, the project will analyze each selected family of viruses to determine their composition, size, shape, and mechanical properties.

Correlation and Technology Development

Finally, all this information will be correlated using artificial intelligence to identify a given virus based on its vibrational spectra. 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, while achieving high selectivity (specific vibrational signature) and high sensitivity (down to the single viral particle).

Financiële details & Tijdlijn

Financiële details

Subsidiebedrag€ 6.069.304
Totale projectbegroting€ 6.069.304

Tijdlijn

Startdatum1-9-2023
Einddatum31-8-2027
Subsidiejaar2023

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)

FranceSpainNetherlandsGermanyTürkiye

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