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Inverse design of a high-quality factor multi-purpose optical biosensor
IET Optoelectronics ( IF 1.6 ) Pub Date : 2022-03-10 , DOI: 10.1049/ote2.12066
Majid Mafi 1 , Amir Hosn Esmaile 2
Affiliation  

This paper investigates a high-quality and multi-purposed biosensor with maximum stable output transmittance numerically by using the inverse design method. The proposed biosensor utilises particle swarm optimisation for inverse design which will be a helpful way of designing different kinds of precise sensors in the future. In this research, some parameters are introduced to the optimiser to find the best cavity parameters for developing a high-quality sensor to sense different targets. Many previous studies were on single-goal biosensors, or their quality factor and output spectrum were very low. The proposed sensor can sense different parts of blood components, the amount of glucose in the urine, and tear's glucose for the first time just in one device to the best of our knowledge. Compared to previous works, this structure detects the differences between refractive indexes analytes with a high-quality factor and a high and stable output transmittance spectrum. This structure contains two-dimensional photonic crystal microresonators to provide resonance frequencies in the photonic bandgap. The device works on a window of 1.55 μm with a quality factor equal to 24,000, the sensitivity is 500 nm/RIU (refractive index unit), and the resolution is equal to 4 × 10−5. In this paper, the scaling method, particle swarm optimisation, two-dimensional finite-difference dime domain, and Plane-Wave Expansion methods are utilised.

中文翻译:

高质量因子多功能光学生物传感器的逆向设计

本文采用逆向设计方法对具有最大稳定输出透射率的高质量多功能生物传感器进行了数值研究。所提出的生物传感器利用粒子群优化进行逆向设计,这将是未来设计各种精密传感器的有用方法。在这项研究中,一些参数被引入到优化器中,以找到最佳的腔体参数,用于开发高质量的传感器来感知不同的目标。许多以前的研究都是针对单目标生物传感器,或者它们的品质因数和输出光谱非常低。据我们所知,所提出的传感器首次可以在一个设备中检测血液成分的不同部分、尿液中的葡萄糖含量和泪液中的葡萄糖含量。相比之前的作品,该结构以高质量因子和高且稳定的输出透射光谱检测折射率分析物之间的差异。该结构包含二维光子晶体微谐振器,以提供光子带隙中的谐振频率。该器件工作在 1.55 μm 窗口,品质因数等于 24,000,灵敏度为 500 nm/RIU(折射率单位),分辨率为4×10 -5。在本文中,利用了缩放方法、粒子群优化、二维有限差分域和平面波展开方法。
更新日期:2022-03-10
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