Zhang Hailong, Cao Pengfei, Dou Jie, Cheng Lin, Niu Tiaoming, Zhang Guanmao
School of Information Science and Engineering, Lanzhou University Lanzhou 730000 China
Kirchhoff-Institute for Physics Im Neuenheimer Feld 227 69120 Heidelberg Germany.
RSC Adv. 2018 Jan 5;8(3):1700-1705. doi: 10.1039/c7ra11981j. eCollection 2018 Jan 2.
In order to improve the refractive index sensitivity of a localized surface plasmon resonance (LSPR) sensor, we present a new type of LSPR sensor whose refractive index sensitivity can be improved by greatly increasing the plasmon wavelength red-shift of metal-semiconductor core-shell nanoparticles (CSNs). Using extended Mie theory and Au@Cu S CSNs, we theoretically investigate the optical properties of metal-semiconductor CSNs in the entire near-infrared band. Compared with dielectric-metal and metal-metal CSNs under the same conditions, the metal-semiconductor CSNs have a higher double-exponential sensitivity curve because their core and shell respectively support two LSPRs that greatly increase the LSPR red-shift to the entire near-infrared range. It is worth noting that the sensitivity can be improved effectively by increasing the ratio of the shell-thickness to core-radius, instead of decreasing it in the case of the dielectric-metal CSNs. The underlying reason for the enhancement of sensitivity is the increase of repulsive force with the enlargement of shell thickness, which is different from the dielectric-metal CSNs. This design method not only paves the way for utilizing metal-semiconductor CSNs in biology and chemistry, but also proposes new ideas for the design of sensors with high sensitivity.
为了提高局域表面等离子体共振(LSPR)传感器的折射率灵敏度,我们提出了一种新型的LSPR传感器,其折射率灵敏度可通过大幅增加金属 - 半导体核壳纳米粒子(CSNs)的等离子体波长红移来提高。利用扩展米氏理论和Au@Cu S CSNs,我们从理论上研究了金属 - 半导体CSNs在整个近红外波段的光学性质。与相同条件下的电介质 - 金属和金属 - 金属CSNs相比,金属 - 半导体CSNs具有更高的双指数灵敏度曲线,因为它们的核和壳分别支持两个局域表面等离子体共振,这极大地增加了局域表面等离子体共振向整个近红外范围的红移。值得注意的是,通过增加壳厚度与核半径的比值可以有效提高灵敏度,而在电介质 - 金属CSNs的情况下则是减小该比值。灵敏度增强的根本原因是随着壳厚度的增大排斥力增加,这与电介质 - 金属CSNs不同。这种设计方法不仅为在生物学和化学中利用金属 - 半导体CSNs铺平了道路,也为高灵敏度传感器的设计提出了新思路。