Probe-Free Identification of RNA Virus Variants with Point Mutations by Surface-Enhanced Raman Spectroscopy

Area of Science:

• Biophysics
• Virology
• Spectroscopy

Background:

• RNA viruses like SARS-CoV-2 evolve rapidly, necessitating swift detection for public health.
• Conventional virus detection methods are slow due to the need for virus-specific probes, hindering rapid response.
• Emerging mutant viruses pose a significant threat, requiring advanced diagnostic tools.

Purpose of the Study:

• To develop a rapid, probe-free method for identifying and distinguishing between different types of viruses and their variants.
• To leverage surface-enhanced Raman scattering (SERS) for spectral fingerprinting of viral surface proteins.
• To assess the efficacy of SERS combined with principal component analysis (PCA) for mutant virus detection.

Main Methods:

• Utilized probe-free surface-enhanced Raman scattering (SERS) to obtain spectral fingerprints of viral surface proteins.
• Applied principal component analysis (PCA) to SERS spectra for systematic analysis and identification of key distinguishing Raman bands.
• Tested the method's ability to differentiate influenza virus variants with point mutations from their parent strains.

Main Results:

• Successfully identified multiple virus types based on their unique surface protein spectral fingerprints obtained via SERS.
• Demonstrated that SERS can effectively distinguish influenza virus variants differing by single point mutations.
• PCA analysis of SERS spectra identified specific Raman bands crucial for differentiating viral variants.

Conclusions:

• The combination of SERS and PCA offers a promising approach for the rapid detection of newly emerging mutant viruses.
• This probe-free SERS method bypasses the time-consuming step of developing specific probes, enabling faster response to viral threats.
• The technique shows potential for real-time surveillance and identification of novel viral pathogens and their evolutionary changes.