posted on 2022-12-01, 18:09authored bySu-jin Hong, Eungyeong Park, Yoon-ha Jang, Ji-yeon Shim, Yeonju Park, Sila Jin, Shuang Guo, Yeon-ju Kim, Min-jeong Son, Lei Chen, Kwang-il Lim, Young Mee Jung
As
observed in the COVID-19 pandemic, RNA viruses continue to rapidly
evolve through mutations. In the absence of effective therapeutics,
early detection of new severely pathogenic viruses and quarantine
of infected people are critical for reducing the spread of the viral
infections. However, conventional detection methods require a substantial
amount of time to develop probes specific to new viruses, thereby
impeding immediate response to the emergence of viral pathogens. In
this study, we identified multiple types of viruses by obtaining the
spectral fingerprint of their surface proteins with probe-free surface-enhanced
Raman scattering (SERS). In addition, the SERS-based method can remarkably
distinguish influenza virus variants with several surface protein
point mutations from their parental strain. Principal component analysis
(PCA) of the SERS spectra systematically captured the key Raman bands
to distinguish the variants. Our results show that the combination
of SERS and PCA can be a promising tool for rapid detection of newly
emerging mutant viruses without a virus-specific probe.