在资源有限的设置中,具有成本效益的即时诊断测试具有检测人类免疫缺陷病毒(HIV)获得性免疫缺陷综合征(AIDS)等疾病的最低病毒载量的特征,是当务之急.本作品描述了一部小说,使用表面增强拉曼光谱(SERS)进行HIV阳性临床样本检测和预后的快速和现场可部署的方法,在七个不同的病毒载量范围在200和1百万拷贝/毫升之间变化。还建立了HIV-1的增加强度峰和降低强度峰之间的关系,以用于手持工具的定量功效。三种不同类型的SERS基底:单臂Ag纳米棒,使用双臂Ag纳米棒和Au溅射的单臂Ag纳米棒,并且在三种基底上比较获得的数据。证明了Au溅射的Ag纳米棒获得了最大的增强。进行了严格的耦合波分析(RCWA)模拟,以研究三种不同SERS基底中的“热点”。Further,为了探索我们平台的实用性,并区分进化枝特定的X4和R5取向,使用属于四种不同HIV-1亚型的HIV-1毒株(A,B,C和D)显示出明显的区别,暗示该平台在了解疾病预后方面的有用性。使用主成分分析(PCA)对获得的SERS光谱进行统计分析,与实验结果吻合良好,证实SERS平台定量HIV-1病毒载量和区分HIV-1毒株的能力。
In resource limited settings, a cost-effective point-of-care diagnostic testing possessing the characteristics of detecting the minimum viral load of a malady like human immunodeficiency virus (HIV) acquired immune deficiency syndrome (AIDS) is a pressing priority. The present work describes a novel, rapid and field-deployable method using surface enhanced Raman spectroscopy (SERS) for detection and prognosis of HIV positive clinical samples, in seven different viral load ranges varying between 200 and 1 million copies/ml. A relationship between the increasing and decreasing intensity peaks of HIV-1 was also established for quantitation efficacy of the handheld tool. Three different types of SERS substrates: single arm Ag nanorods, double arm Ag nanorods and Au sputtered single arm Ag nanorods were used and the obtained data was compared for the three substrates. It was demonstrated that maximum enhancement was obtained for Au sputtered Ag nanorods. Rigorous coupled wave analysis (RCWA) simulations were performed to
study the \'hotspots\' in three different SERS substrates. Further, to explore the utility of our platform and to differentiate between the clade specific X4 and R5 tropism, their corresponding SERS spectra were studied using HIV-1 strains belonging to four different HIV-1 subtypes (A, B, C and D) which showed a clear distinction, implying the usefulness of the platform in understanding the disease prognosis. Statistical analysis of the obtained SERS spectra using principal component analysis (PCA) showed good agreement with the experimental results, confirming the ability of SERS platform to quantitate HIV-1 viral load and distinguish HIV-1 strains on the basis of their SERS spectra.