化学
核糖核酸
拉曼光谱
病毒学
病毒
拉曼散射
点突变
突变体
表面增强拉曼光谱
计算生物学
生物
基因
生物化学
光学
物理
作者
Su-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
标识
DOI:10.1021/acs.analchem.2c02912
摘要
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.
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