SERS Platform for Dengue Diagnosis from Clinical Samples Employing a Hand Held Raman Spectrometer
SERS Platform for Dengue Diagnosis from Clinical Samples Employing a Hand Held Raman Spectrometer
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DOI：
10.1021/acs.analchem.9b04129
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发表时间：
2020-02-04
影响因子：
7.4
通讯作者：
Singh, J. P.
中科院分区：
文献类型：
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作者：
Gahlaut, S. K.;Savargaonkar, D.;Singh, J. P.
登革热是一个严重的全球健康问题，特别是在热带和亚热带国家。全世界约有25亿人口面临登革热感染的风险。早期诊断是防止患者健康恶化为重症的关键。登革热的实验室诊断对于为临床上难以诊断的发热性疾病的登革热患者提供适当的支持性治疗至关重要。在这里，我们证明了表面增强拉曼散射（Sers）为基础的诊断登革热病毒的临床血液样本收集共102个科目。所有样本均用常规的NS1抗原和IgM抗体ELISA试剂盒进行了良好的表征。采用掠射角沉积技术制备了银纳米棒阵列作为表面增强Sers基底。取少量患者血清（5 μ L）进行分析，并在1分钟内编写报告。分别记录了纯NS 1蛋白和血清中NS 1蛋白的Sers光谱。采用主成分分析（PCA）作为统计工具，以区分登革热阳性，登革热阴性和健康受试者的基础上，他们各自的Sers光谱。这种方法提供了一种灵敏、快速和可现场部署的登革热早期诊断（症状发作后5天内）。
Dengue is a serious global health concern especially in tropical and subtropical countries. About 2.5 billion of the world's population is at risk for dengue infection. Early diagnosis is the key to prevent the deterioration of health of the patient to severe illness. Laboratory diagnosis of dengue is essential for providing appropriate supportive treatment to dengue patients with febrile illness, which is difficult to diagnose clinically. Here, we demonstrate surface enhanced Raman scattering (SERS) based diagnosis of dengue virus in clinical blood samples collected from total of 102 subjects. All of the samples were well characterized by conventional NS1 antigen and IgM antibody ELISA kits. The silver nanorods array fabricated by glancing angle deposition technique were employed as SERS substrates. A small amount of patient blood serum (5 mu L) was taken for analysis and the report was prepared within a minute. SERS spectra of pure NS1 protein as well as spiked in serum was also recorded separately. Principal component analysis (PCA) was employed as the statistical tool to differentiate dengue positive, dengue negative, and healthy subjects on the basis of their respective SERS spectra. This method provides a sensitive, rapid, and field deployable diagnosis of dengue at the early stage (within 5 days of the onset of symptoms).