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中文摘要：
为了提高空气孔结构光子晶体生物传感器的归一化透射率,利用粒子群优化（PSO）算法对其结构参数进行多维空间全局优化。以散射空气孔、耦合空气孔和内部空气孔的半径作为被优化变量,并根据位置—速度更新公式进行优化;进而分别将光子晶体全芯片、耦合空气孔和内部空气孔作为传感区域,对优化后的结构进行传感特性分析。结果表明,优化后,该传感器的归一化透射率由54%提高到92%;在传感特性分析中,其谐振波长的漂移量与生物样本折射率的变化成近似线性的关系,且将内部空气孔作为传感区域时的灵敏度要明显高于将全芯片和耦合空气孔作为传感区域的灵敏度,可达950nm/RIU。该结构的优化方法对其他功能器件或集成光波导器件的设计和研究具有一定的指导意义。
英文摘要：
To improve the normalized transmission of photonic crystal biosensors based on the air-pore structure, the particle swarm optimization algorithm has been adopted to optimize the structure parameters globally in the multi- dimensional space. The optimization process has been performed according to the position-velocity updating equation, in which the coupling structure combining the ring cavity with the line waveguide is regarded as the optimized object, and the scattering air pores, the coupling air pores and the inner air pores are regarded as the optimized variables. Then the sensing property has been analyzed using the optimized structure, in which the coupling area and the inner area have been adopted as the sensing region respectively. The simulation results show that the normalized transmission can be increased from 54 % to 92 % after optimization and the relationship between shift of the resonant wavelength and the change of the refractive index for the biological sample is linear. And the sensitivity of the inner air pores as the sensing region is higher than those of the general chip and the coupling air pores with the sensitivity more than 950 nm/RIU. The structure optimization method can provide effective guidance for other functional devices and integrated optical waveguide devices.
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