Comparison of SERS spectra of intact and inactivated viruses via machine learning algorithms for the viral disease’s diagnosis application

This study explores using inactivated influenza A viruses instead of intact ones for creating a spectral database in a diagnostic method with SERS and machine learning. Spectral differences between the forms reveal limitations in using inactivated viruses for database creation and ML training for virus detection, but the data obtained can be utilized for vaccine quality monitoring technology.