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Identification of individual genotypes of measles virus using surface enhanced Raman spectroscopy

机译：使用表面增强拉曼光谱法鉴定麻疹病毒的个体基因型

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A spectroscopic assay based on surface-enhanced Raman spectroscopy (SERS) has been developed fornrapid genotyping of the measles virus (MeV). Silver nanorods fabricated using an oblique angle vaporndeposition method acted as the SERS-active substrate. The SERS spectra of four separate MeVngenotypes, i.e. A, H1, D4 and D9, and two separate negative media control samples were analyzednusing multivariate statistical methods. Principal components analysis (PCA) and hierarchical clusternanalysis (HCA) successfully separated three of the four MeV genotypes studied. The MeV genotypesnused in this study had >96% sequence similarity as monitored using the MeV hemagglutinin (H) gene,nand the clustering seen in PCA and HCA mirrored this sequence diversity. For example, the MeVngenotypes with the highest sequence diversity (u00023%, A and H1) were the most widely separated in thenPCA scores plot and HCA dendogram. Conversely, the MeV genotypes with the lowest sequencendiversity (u00020.5%, D4 and D9) could not be statistically differentiated. However, a supervisednchemometric method, partial least squares-discriminant analysis (PLS-DA) was able to separate eachnof the four MeV strains, the two negative controls, and the background, with >90% sensitivity andn>96% selectivity based solely on their inherent SERS spectra. These results demonstrate that SERS, inncombination with multivariate statistical methods, is a highly sensitive and rapid viral identificationnand classification method that can be applied to MeV genotyping.
机译：已经开发了基于表面增强拉曼光谱（SERS）的光谱测定法，用于麻疹病毒（MeV）的快速基因分型。使用斜角气相沉积法制备的银纳米棒充当SERS活性基材。使用多元统计方法分析了四个单独的MeVngenotypes，即A，H1，D4和D9，以及两个单独的阴性培养基对照样品的SERS光谱。主成分分析（PCA）和层次聚类分析（HCA）成功地分离了所研究的四种MeV基因型中的三种。使用MeV血凝素（H）基因监测的MeV基因型具有> 96％的序列相似性，并且PCA和HCA中的聚类反映了该序列多样性。例如，序列多样性最高的MeVngenotypes（u00023％，A和H1）在PCA分数图和HCA树枝状图中最分开。相反，具有最低序列多样性（u00020.5％，D4和D9）的MeV基因型无法进行统计学区分。然而，监督化学计量学方法，偏最小二乘判别分析（PLS-DA）能够分离出四个MeV菌株，两个阴性对照和背景中的每一个，其敏感性分别> 90％和选择性> 96％ SERS固有光谱。这些结果表明，与多元统计方法结合使用的SERS是一种高度灵敏，快速的病毒鉴定和分类方法，可用于MeV基因分型。

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    《The Analyst》 |2010年第12期|p.3103-3109|共7页
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    Vinh Hoang Ralph A. Tripp Paul Rota and Richard A. Dluhy;

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    aDepartment of Chemistry, University of Georgia, Athens, GA, 30602.E-mail: dluhy@uga.edu, Fax: +1-706-542-9454, Tel: +1-706-542-1950bDepartment of Infectious Diseases, University of Georgia, Athens, GA,30602cMeales, Mumps, Rubella and Herpesvirus Laboratory Branch, Centers forDisease Control and Prevention, Atlanta, GA, 30333† This article is part of a themed issue on Optical Diagnosis. This issueincludes work presented at SPEC 2010 Shedding Light on Disease:Optical Diagnosis for the New Millennium, which was held inManchester, UK June 26th – July 1st 2010.,;

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