Statistical Correlation Between SERS Intensity and Nanoparticle Cluster Size
Statistical Correlation Between SERS Intensity and Nanoparticle Cluster Size
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DOI：
10.1021/jp404250q
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发表时间：
2013-08
影响因子：
3.7
通讯作者：
C. Shaw;Meikun Fan;Chelsey Lane;Garrett S. Barry;A. Jirasek;A. Brolo
中科院分区：
文献类型：
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作者：
C. Shaw;Meikun Fan;Chelsey Lane;Garrett S. Barry;A. Jirasek;A. Brolo
生物标志物的表面增强拉曼散射（Sers）图谱在确定细胞和组织中感兴趣的蛋白质的分布方面显示出巨大的前景。金属纳米颗粒（NP）探针通常用于这种映射。由于来自NP的Sers强度取决于尺寸、形状和颗粒间距离/分布，因此尚不清楚该方法是否可以提供可靠的生物标志物定量。为了解决这个问题，我们研究了一种统计方法，从Sers探针团簇的Sers定量。研究开始于考虑多个生物素化表面，这些表面已经暴露于用链霉亲和素（定义为Sers探针）功能化的聚乙二醇化NP（设计用于生物Sers映射）。用扫描电子显微镜对表面进行成像，并用拉曼显微镜进行SERS映射。统计分布的Sers探针团簇和映射表面上的Sers强度。结果表明，在不同的温度下，温度与温度之间存在一个光滑的多项式关系。
Surface enhanced Raman scattering (SERS) mapping of biomarkers has shown great promise in determining the distribution of proteins of interest in cells and tissues. Metallic nanoparticle (NP) probes are generally used in such mapping. Since SERS intensities from NPs are dependent on size, shape, and interparticle distance/distribution, it is unclear if this method can provide reliable biomarker quantification. To address this problem, we investigated a statistical approach to the quantification of SERS from SERS probe clusters. The investigation began by considering multiple biotinylated surfaces that had been exposed to pegylated NPs (designed for biological SERS mapping) functionalized with streptavidin (defined as SERS probes). The surfaces were imaged with a scanning electron microscope and SERS-mapped with a Raman microscope. Statistical distributions of the SERS probe clusters and mapped SERS intensities on the surfaces were developed. It was found that there was a smooth polynomial relationship bet...