<br>操纵金纳米星中的声学和等离子体模式,Nanoscale Advances

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操纵金纳米星中的声学和等离子体模式
Nanoscale Advances ( IF 4.6 ) Pub Date : 2019-05-27 , DOI: 10.1039/c9na00301k
Sharmistha Chatterjee _{1,

2,

3} , Loredana Ricciardi _{2,

3} , Julia I Deitz _{4,

5} , Robert E A Williams ₄ , David W McComb _{4,

5} , Giuseppe Strangi _{1,

2,

3}

Affiliation

在这篇文章中，报告了金纳米星（AuNS）中等离子体边缘模式和声呼吸模式的实验证据。 AuNSs 通过无表面活性剂的一步湿化学方法合成。 AuNS 的光学消光测量证实了局域表面等离子体共振 (LSPR) 的存在，而使用扫描透射电子显微镜 (STEM) 的电子能量损失光谱 (EELS) 显示了 LSPR 的空间分布，并揭示了声学呼吸模式的存在。由于光学活性偶极边缘模式，在尖锐尖峰的顶峰产生的等离子体热点可以显着增强局部场和热电子注入的强度，因此可用于小蛋白质分子的尺寸检测。从纳米星顶端观察到的呼吸模式被认为是受激暗模式——它们具有声学性质——并且可能源自纳米结构的几何边界对表面等离子体的限制。数值模拟验证了两种模式的存在。这两种模式都提供了设计基于 AuNS 的纳米等离子体天线的可能性，它可以使用两步分子检测过程提供有关生物分子的质量和极化率的信息。

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Manipulating acoustic and plasmonic modes in gold nanostars

In this contribution experimental evidence of plasmonic edge modes and acoustic breathing modes in gold nanostars (AuNSs) is reported. AuNSs are synthesized by a surfactant-free, one-step wet-chemistry method. Optical extinction measurements of AuNSs confirm the presence of localized surface plasmon resonances (LSPRs), while electron energy-loss spectroscopy (EELS) using a scanning transmission electron microscope (STEM) shows the spatial distribution of LSPRs and reveals the presence of acoustic breathing modes. Plasmonic hot-spots generated at the pinnacle of the sharp spikes, due to the optically active dipolar edge mode, allow significant intensity enhancement of local fields and hot-electron injection, and are thus useful for size detection of small protein molecules. The breathing modes observed away from the apices of the nanostars are identified as stimulated dark modes – they have an acoustic nature – and likely originate from the confinement of the surface plasmon by the geometrical boundaries of a nanostructure. The presence of both types of modes is verified by numerical simulations. Both these modes offer the possibility of designing nanoplasmonic antennas based on AuNSs, which can provide information on both mass and polarizability of biomolecules using a two-step molecular detection process.

更新日期：2019-07-10

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