Large-Area Au-Nanoparticle-Functionalized Si Nanorod Arrays for Spatially Uniform Surface-Enhanced Raman Spectroscopy

Large-Area Au-Nanoparticle-Functionalized Si Nanorod Arrays for Spatially Uniform Surface-Enhanced Raman Spectroscopy
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用于空间均匀表面增强拉曼光谱的大面积金纳米颗粒功能化硅纳米棒阵列

DOI:
10.1021/acsnano.6b06778
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发表时间:
2017-02-01
期刊:
影响因子:
17.1
通讯作者:
Yang, Xinju
Yang, Xinju
中科院分区:
材料科学1区
文献类型:
--
作者:
Ling, Dongdong;Wu, Zilong;Yang, Xinju

文献摘要

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在这项研究中,大面积六边形堆积的Si纳米棒(SiNR)阵列与Au纳米颗粒(AuNPs)结合,用于表面增强拉曼光谱(SERS)。我们已经实现了高重复性和空间均匀性的超灵敏分子检测。时域有限差分模拟表明,沿SiNR阵列表面产生了大范围的三维电场。通过调整SiNRs的间隙和直径,增强电场产生的长衰减长度(>130 inn)使SERS衬底成为用于超灵敏检测大分子的零间隙系统。在R6G分子的检测中,我们的SERS系统实现了bbb10(7)的增强因子,在衬底上30个点的相对标准偏差小至3.9-7.2%。更重要的是,SERS底物在单纤维水平上在长淀粉样蛋白- β原纤维上产生超灵敏的拉曼信号,这为超灵敏检测与阿尔茨海默病相关的淀粉样蛋白聚集体提供了有希望的潜力。我们的研究表明,与AuNPs功能化的SiNRs可以作为化学和生物医学检测中的优秀SERS底物。
In this study, large-area hexagonal-packed Si nanorod (SiNR) arrays in conjunction with Au nanoparticles (AuNPs) were fabricated for surface-enhanced Raman spectroscopy (SERS). We have achieved ultrasensitive molecular detection with high reproducibility and spatial uniformity. A finite-difference time-domain simulation suggests that a wide range of three-dimensional electric fields are generated along the surfaces of the SiNR array. With the tuning of the gap and diameter of the SiNRs, the produced long decay length (>130 inn) of the enhanced electric field makes the SERS substrate a zero-gap system for ultrasensitive detection of large biomolecules. In the detection of R6G molecules, our SERS system achieved an enhancement factor of >10(7) with a relative standard deviation as small as 3.9-7.2% over 30 points across the substrate. More significantly, the SERS substrate yielded ultrasensitive Raman signals on long amyloid-beta fibrils at the single-fibril level, which provides promising potentials for ultrasensitive detection of amyloid aggregates that are related to Alzheimer's disease. Our study demonstrates that the SiNRs functionalized with AuNPs may serve as excellent SERS substrates in chemical and biomedical detection.