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Rapid and Sensitive Detection of Rotavirus Molecular Signatures Using Surface Enhanced Raman Spectroscopy

机译:使用表面增强拉曼光谱快速灵敏地检测轮状病毒分子特征

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摘要

Human enteric virus infections range from gastroenteritis to life threatening diseases such as myocarditis and aseptic meningitis. Rotavirus is one of the most common enteric agents and mortality associated with infection can be very significant in developing countries. Most enteric viruses produce diseases that are not distinct from other pathogens, and current diagnostics is limited in breadth and sensitivity required to advance virus detection schemes for disease intervention strategies. A spectroscopic assay based on surface enhanced Raman scattering (SERS) has been developed for rapid and sensitive detection of rotavirus. The SERS method relies on the fabrication of silver nanorod array substrates that are extremely SERS-active allowing for direct structural characterization of viruses. SERS spectra for eight rotavirus strains were analyzed to qualitatively identify rotaviruses and to classify each according to G and P genotype and strain with >96% accuracy, and a quantitative model based on partial least squares regression analysis was evaluated. This novel SERS-based virus detection method shows that SERS can be used to identify spectral fingerprints of human rotaviruses, and suggests that this detection method can be used for pathogen detection central to human health care.
机译:人类肠病毒的感染范围从胃肠炎到危及生命的疾病,例如心肌炎和无菌性脑膜炎。轮状病毒是最常见的肠溶药物之一,与感染相关的死亡率在发展中国家可能非常重要。大多数肠病毒产生的疾病与其他病原体没有区别,当前的诊断方法在扩展病毒检测方案以进行疾病干预策略所需的广度和敏感性方面受到限制。已经开发了一种基于表面增强拉曼散射(SERS)的光谱分析方法,用于快速,灵敏地检测轮状病毒。 SERS方法依赖于具有极强SERS活性的银纳米棒阵列基板的制造,从而可以直接表征病毒。分析了八种轮状病毒菌株的SERS光谱,以定性鉴定轮状病毒,并根据G和P基因型和菌株将其分类,准确度> 96%,并评估了基于偏最小二乘回归分析的定量模型。这种新颖的基于SERS的病毒检测方法表明SERS可以用于识别人类轮状病毒的光谱指纹,并且表明该检测方法可以用于人类卫生保健的病原体检测。

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