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首页> 外文会议>Plasmonics in biology and medicine XIII >Simultaneous trapping-and-detecting surface-enhanced Raman spectroscopy by self-aligned hot-spots
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Simultaneous trapping-and-detecting surface-enhanced Raman spectroscopy by self-aligned hot-spots

机译：自对准热点同时捕获和检测表面增强拉曼光谱

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摘要

Since surface-enhanced Raman spectroscopy (SERS) makes it possible to enhance weak Raman signals which represent molecular own vibrational transition as a fingerprint, it has gotten much attention in the field of biosensor. Although SERS can detect specific molecules with high sensitivity and selectivity, it is still difficult to fabricate efficient SERS substrates, align 'hot-spot' with a detection site, and increase reproducibility for molecular sensing. Here, we converged plasmonic trapping with conventional SERS in order to overcome these drawbacks. As plasmonic trapping is to move nano particles toward the desired position by electric field gradient, we could trap gold nano particles (GNPs) onto a raw bowtie substrate and fabricate self-aligned hot-spots by using plasmonic trapping, which is directly contributed to enhancing weak signals by shortening structure-to-structure distances. Also, since a united laser was used to trap GNPs and to detect target molecules at the same time, it was possible to directly obtain Raman signal on the self-aligned hot-spots. To further verify our technique, we also conducted numerical analysis for electric field distribution and trapping force by using finite element method and the results were well matched with the experimental data. This increases low reproducibility of SERS and as a result, we could repetitively obtain same results.
机译：由于表面增强拉曼光谱（SERS）可以增强代表分子自身振动跃迁的弱拉曼信号作为指纹，因此在生物传感器领域引起了广泛关注。尽管SERS可以高灵敏度和选择性地检测特定分子，但仍然难以制造有效的SERS底物，使“热点”与检测位点对齐，并提高分子感测的可重复性。在这里，我们将等离子体捕获与常规SERS融合，以克服这些缺点。由于等离子捕获是通过电场梯度将纳米颗粒移至所需位置，因此我们可以将金纳米颗粒（GNP）捕获到原始领结衬底上，并通过使用等离子捕获来制造自对准热点，这直接有助于增强通过缩短结构间距离来减弱微弱信号。此外，由于使用了联合激光器来捕获GNP并同时检测目标分子，因此可以直接在自对准热点上获得拉曼信号。为了进一步验证我们的技术，我们还使用有限元方法对电场分布和俘获力进行了数值分析，结果与实验数据吻合良好。这增加了SERS的低可重复性，结果，我们可以重复获得相同的结果。

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