用元启发式算法优化基于一维光子晶体的光学生物传感器以测量葡萄糖浓度

Mahalakshmi R, Y. M. Al-Moliki, Ali H. Alqahtani, A. U
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引用次数: 0

摘要

我们的目标是模拟一种基于一维晶体光子学的最佳光学生物传感器,用于测量血液和尿液中的葡萄糖浓度。通过元启发式优化算法优化传感器结构,提高了灵敏度。为了测量血糖和尿糖浓度,这些材料被用作一维晶体光子学的缺陷层,由三种材料组成:氟化镁(MgF2)、硼硅玻璃(BK7)和碘化孤(LiI),折射率分别为 37/1、1/5 和 1/99。通过改变葡萄糖的浓度,缺陷层的折射率会发生变化,从而改变光子晶体中缺陷层的光学特性以及透射光和反射光的光谱。根据葡萄糖对光的吸收量,输入光的波长范围为 900-2200nm(近红外)。多层系统的计算采用了传递矩阵法。该方法基于两个矩阵(边界矩阵和扩散矩阵)的定义,可直接应用边界条件。利用传递矩阵法绘制通过晶体的光谱,并确定光谱中峰值的位置,从而计算出传感器对血液和尿液中不同浓度葡萄糖的灵敏度。优化前的灵敏度为 530 nm/RIU,优化后达到 842 nm/RIU
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimization of Optical Biosensor Based on 1D Photonic Crystals with Metaheuristic Algorithms for Measuring Glucose Concentration
We aim to simulate an optimal optical biosensor based on one-dimensional crystal photonics, for measuring blood and urine glucose concentration. By optimizing the sensor structure through metaheuristic optimization algorithms, sensitivity was increased. To measure blood and urine glucose concentration, these materials are used as a defect layer in one-dimensional crystal photonics, consisting of three materials: magnesium fluoride (MgF2), borosilicate glass (BK7), and orphan iodide (LiI) with refractive indices of 37/ 1, 1/5, and 1/99. By changing the concentration of glucose, the refractive index of the defect layer changes, changing the optical properties of the defect layer in the photonic crystal and the spectrum of transmitted and reflected light. According to the amount of light absorption by glucose, a wavelength range of 900-2200 nm (near infrared) was used as the input light. The transfer matrix method was used to calculate multi-layer systems. This method is based on the definition of two matrices, the boundary matrix and the diffusion matrix, which can be used to directly apply the boundary conditions. By plotting the spectrum passing through the crystal using the transfer matrix method and determining the location of the peak in the spectrum, the sensitivity of the sensor was calculated for different concentrations of glucose in blood and urine. The sensitivity obtained before optimization was 530 nm/RIU, while after optimization it reached 842 nm/RIU
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