Surface-enhanced Raman spectroscopy based quantitative bioassay on aptamer-functionalized nanopillars using large-area Raman mapping.
Surface-enhanced Raman spectroscopy based quantitative bioassay on aptamer-functionalized nanopillars using large-area Raman mapping.
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DOI：
10.1021/nn401199k
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发表时间：
2013-06-25
期刊：
影响因子：
17.1
通讯作者：
Lin, Qiao
中科院分区：
文献类型：
--
作者：
Yang, Jaeyoung;Palla, Mirko;Bosco, Filippo Giacomo;Rindzevicius, Tomas;Alstrom, Tommy Sonne;Schmidt, Michael Stenbaek;Boisen, Anja;Ju, Jingyue;Lin, Qiao
表面增强拉曼光谱（Sers）由于其高灵敏度和特异性而被用于各种生物应用中。在这里，我们报告了一种基于SERS的生物传感方法，用于生物分子的定量检测。带有金修饰的硅纳米柱的Sers基底用适体官能化，用于灵敏和特异地检测靶分子。在这项研究中，皮摩尔浓度（1 pM至1 nM）的TAMRA标记的加压素分子被纳米结构Sers基底上的适体特异性捕获，并通过使用自动Sers信号映射技术进行监测。从实验结果中，我们显示浓度依赖性的Sers响应在皮摩尔范围内通过整合Sers信号强度在扫描区域。还注意到，我们的信号映射方法显着提高了统计再现性，并占点到点的变化，在传统的Sers定量。此外，我们已经开发了一个分析模型，能够预测实验强度分布的基板上的生物分子的可靠定量。最后，我们计算了有效和可靠的分析每个测量所需的最小面积的拉曼映射。将我们Sers映射分析与适体官能化的纳米柱基底相结合被发现对于检测低丰度生物分子是非常有效的。
Surface-enhanced Raman spectroscopy (SERS) has been used in a variety of biological applications due to its high sensitivity and specificity. Here, we report a SERS-based biosensing approach for quantitative detection of biomolecules. A SERS substrate bearing gold-decorated silicon nanopillars is functionalized with aptamers for sensitive and specific detection of target molecules. In this study, TAMRA-labeled vasopressin molecules in the picomolar regime (1 pM to 1 nM) are specifically captured by aptamers on the nanostructured SERS substrate and monitored by using an automated SERS signal mapping technique. From the experimental results, we show concentration-dependent SERS responses in the picomolar range by integrating SERS signal intensities over a scanning area. It is also noted that our signal mapping approach significantly improves statistical reproducibility and accounts for spot-to-spot variation in conventional SERS quantification. Furthermore, we have developed an analytical model capable of predicting experimental intensity distributions on the substrates for reliable quantification of biomolecules. Lastly, we have calculated the minimum needed area of Raman mapping for efficient and reliable analysis of each measurement. Combining our SERS mapping analysis with an aptamer-functionalized nanopillar substrate is found to be extremely efficient for detection of low-abundance biomolecules.
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