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Surface plasmon resonance biosensor based on graphene and grating excitation

机译:基于石墨烯和光栅励磁的表面等离子体共振生物传感器

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摘要

A surface plasmon resonance biosensor based on a graphene-decorated grating excitation structure is proposed in this paper. The biosensor consists of a three-layer structure, including a graphene layer, a grating layer, and a high refractive index layer. The material of the grating layer is silica. The graphene is physically deposited on the grating ridges. An incident light with transverse magnetic polarization is used to excite surface plasmons in the mid-infrared spectral region, which is highly localized at both ends of the graphene layer. The property of the sensor is improved by the high refractive index dielectric layer, which enhances the absorption of incident light and increases the depth of the spectra. The finite-difference time-domain method is used to simulate the property of the sensor. The structure of the sensor could be optimized by changing the structural parameters and comparing the simulation results. The effective refractive index (RI) on the surface and the wavelength of the reflective resonance absorption peak will be changed when the surface of graphene adsorbs the surrounding analyte. The results show that the relationship between the analyte RI and the resonance wavelength is linear. The measurement range of analyte RI is 1-1.8, and the sensitivity is 2780 nm/RIU. (C) 2019 Optical Society of America
机译:本文提出了一种基于石墨烯装饰光栅激励结构的表面等离子体共振生物传感器。生物传感器由三层结构组成,包括石墨烯层,光栅层和高折射率层。光栅层的材料是二氧化硅。石墨烯物理沉积在光栅脊上。具有横向磁极化的入射光用于激发中红外光谱区域中的表面等离子体,其在石墨烯层的两端高度定位。高折射率介电层改善了传感器的性质,其增强了入射光的吸收并增加了光谱的深度。有限差分时间域方法用于模拟传感器的属性。通过改变结构参数并进行比较模拟结果,可以优化传感器的结构。当石墨烯表面吸附周围分析物时,将改变表面和反射共振吸收峰的波长的有效折射率(RI)。结果表明,分析物RI与谐振波长之间的关系是线性的。分析物Ri的测量范围为1-1.8,灵敏度为2780nm / Riu。 (c)2019年光学学会

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  • 来源
    《Applied optics》 |2019年第7期|共6页
  • 作者单位

    Yanshan Univ Qinhuangdao 066004 Peoples R China;

    Yanshan Univ Qinhuangdao 066004 Peoples R China;

    Yanshan Univ Qinhuangdao 066004 Peoples R China;

    Yanshan Univ Qinhuangdao 066004 Peoples R China;

    Yanshan Univ Qinhuangdao 066004 Peoples R China;

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