材料科学
表面等离子共振
折射率
通量
等离子体子
吸收(声学)
离子
电介质
透射电子显微镜
局域表面等离子体子
共振(粒子物理)
光电子学
光学
分析化学(期刊)
纳米颗粒
纳米技术
激光器
原子物理学
物理
量子力学
复合材料
化学
色谱法
作者
Jun Wang,Gang Wang,Changlong Liu,Yimo Wang,Hui Qian
出处
期刊:Nanotechnology
[IOP Publishing]
日期:2021-10-13
卷期号:33 (3): 035711-035711
被引量:5
标识
DOI:10.1088/1361-6528/ac2f23
摘要
Ag/SiO2and Au/SiO2samples were prepared by separately implanting 30 keV Ag and Au ions into 0.5-mm-thick SiO2slabs at a fluence of 6 × 1016ion·cm-2, and their optical and structural properties were studied in detail by using a fiber spectrometer and a transmission electron microscope, respectively. Our results showed that the two samples featured by their respective nanocomposite surface layers were asymmetrical in structure, and hence, their characteristic signals in the reflectance spectra excited by the lights incident from the rear surfaces were able to exhibit corresponding blueshifts when the overlays on the implanted surfaces were increased in refractive index with respect to air. Our results also showed that each of characteristic signals was strongly dependent on the localized surface plasmon resonance (LSPR) behavior of the involved Ag or Au nanoparticles (NPs), and it could not appear at a wavelength position smaller than or equal to that of the LSPR absorption peak since the involved Ag or Au NPs were quite small in size. These results meant that the two samples could be regarded as the LSPR sensors with a negative refractive index sensitivity (RIS), although their sensing abilities would lose when the overlays were very large in refractive index. Especially, the two samples were demonstrated to be relatively high in stability because the involved Ag and Au NPs were closely hugged and chemically protected by the matrices of SiO2, and consequently, they could have a chance to become prospective sensing devices in some special fields as long as their RISs and linearities could be improved in the future. The above findings substantially confirmed that the metal ion implantation into transparent dielectric slab was an effective route to the high-stability LSPR sensors.
科研通智能强力驱动
Strongly Powered by AbleSci AI