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  • 杜朝玲 ( 副教授 )

    的个人主页 http://faculty.nuaa.edu.cn/dcl/zh_CN/index.htm

  •   副教授   硕士生导师
  • 招生学科专业:
    物理学 -- 【招收硕士研究生】 -- 物理学院
    电子信息 -- 【招收硕士研究生】 -- 物理学院
论文成果 当前位置: 中文主页 >> 科学研究 >> 论文成果
Optimal geometry parameter for plasmonic sensitivities of individual Au nanopoarticle sensors

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所属单位:理学院
发表刊物:PHYSICAL CHEMISTRY CHEMICAL PHYSICS
关键字:REFRACTIVE-INDEX SENSITIVITY GOLD NANOPARTICLES SPECTROSCOPY WAVELENGTH POSITION BAND
摘要:The shape, aspect ratio and size are key parameters governing the plasmon sensitivities of individual Au nanoparticle bio/chemical sensors. It is crucial to unveil the general geometry parameters to optimize their corresponding sensitivity applications. In this work, the geometry-dependent refractive-index sensitivity factor (S) and figure of merit (FOM) of individual Au nanoparticle sensors (including a nanodisc, nanorod, nanoellipsoid and hexagonal nanoplate) are numerically investigated by discrete dipole approximation (DDA). S is revealed to increase quadratically/linearly with aspect ratio, while FOM reaches a maximum at an optimized aspect ratio of about 3.0/8.0 for the studied prolate/oblate nanoparticles, respectively, reflecting their shapes and aspect ratios and, hence, their size effects. However, their responses to shape factors are shown to follow nearly the same trend regardless of their different detailed geometries, demonstrating that their shape factors provide the general geometry parameters governing the plasmon sensitivities of the concerned individual Au nanoparticle sensors. This can be analytically explained well under dipolar localized surface plasmon resonance (LSPR) conditions. Their optimal FOM is predicted to be about 12.5 RIU-1 at a shape factor of 10.5; the underlying reason for this is analytically discussed as well. The obtained results in this work are believed to hold great promise for choosing appropriate nanoparticle geometry parameters for individual Au nanoparticle LSPR-based bio/chemical sensor design and applications as well as to access the corresponding optimal geometry parameters and FOM simultaneously.
ISSN号:1463-9076
是否译文:否
发表时间:2019-04-14
合写作者:Yang, WanChun,Peng, Sheng,施大宁
通讯作者:杜朝玲

 

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