Graphene-Photonic Crystal Fiber Biodetection Based on Surface Plasma Resonance Effect and Defect Coupling

Mengyin Liu, Ziyang Mei, Gongli Xiao, Hongyan Yang
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Abstract

In this paper, we propose a defect coupled photonic crystal fiber (PCF) biosensor detection method. A double-layer annular pore array with different diameters is designed, which is characterized by six periodically arranged holes (d1=0.7um) in the inner layer of the core and five symmetrically arranged holes (d2=0.8um) in the outer layer. By removing two air holes to form defects, the evanescent field leakage to the pore defects can be effectively enhanced. By using the finite element method (FEM), the sensing performance can be greatly improved by optimizing the geometric structure parameters, metal thickness and adding graphene. When the refractive index of the measured medium changes from 1.33 to 1.37, the sensitivity of the sensor can be improved to 3000nm/RIU.
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基于表面等离子体共振效应和缺陷耦合的石墨烯-光子晶体光纤生物检测
本文提出了一种缺陷耦合光子晶体光纤(PCF)生物传感器检测方法。设计了一种不同直径的双层环形孔阵列,其特征是芯层内层有6个周期性排列的孔(d1=0.7um),外层有5个对称排列的孔(d2=0.8um)。通过去除两个气孔形成缺陷,可以有效地增强气孔缺陷的瞬变场泄漏。利用有限元方法,通过优化几何结构参数、金属厚度和添加石墨烯,可以大大提高传感性能。当被测介质的折射率从1.33变化到1.37时,传感器的灵敏度可提高到3000nm/RIU。
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