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用于医学应用的合金增强表面等离子体共振光纤生物传感器的数值模拟

Numerical Simulation of Surface Plasmon Resonance Optical Fiber Biosensor Enhanced by Using Alloys for Medical Application.

作者信息

Esmailidastjerdipour Parisa, Shahshahani Fateme

机构信息

Physics department, Alzahra University of Tehran, Tehran, Iran.

出版信息

Sens Imaging. 2023;24(1):4. doi: 10.1007/s11220-022-00409-y. Epub 2023 Jan 31.

DOI:10.1007/s11220-022-00409-y
PMID:36744008
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9887576/
Abstract

Tuberculosis is a very dangerous disease. Therefore, early and quick diagnosis of this disease can increase the chances of overcoming it. Studies show that people with tuberculosis have a lower blood plasma refractive index than healthy people. The performance of the fiber optic sensor based on surface plasmon resonance is investigated for the metal/oxide/graphene structure and for cases where the diameter of the fiber optic core is 300, 600, and 940 µm while blood plasma is considered as the sensing medium. The sensor characteristics such as sensitivity, detection accuracy and figure of merit are simulated for each structure using the theory of matrix method in Wolfram Mathematica software. The simulation results show that the aluminum/lutetium oxide/graphene structure has the highest quality factor when the core diameter of the optical fiber is 940 µm. In continuation of this research, the effects of using alloys with different mixture proportions to improve the quality are investigated. According to results, the structure of aluminum/copper alloy (with a ratio of 30/70)-lutetium oxide graphene is the best choice for improving the quality of the sensor.

摘要

肺结核是一种非常危险的疾病。因此,对这种疾病进行早期快速诊断可以增加战胜它的几率。研究表明,肺结核患者的血浆折射率低于健康人。针对金属/氧化物/石墨烯结构以及光纤纤芯直径分别为300、600和940微米且将血浆视为传感介质的情况,研究了基于表面等离子体共振的光纤传感器的性能。使用Wolfram Mathematica软件中的矩阵方法理论,针对每种结构模拟了传感器的特性,如灵敏度、检测精度和品质因数。模拟结果表明,当光纤纤芯直径为940微米时,铝/镥氧化物/石墨烯结构具有最高的品质因数。在这项研究的后续工作中,研究了使用不同混合比例的合金来提高品质的效果。根据结果,铝/铜合金(比例为30/70)-镥氧化物石墨烯结构是提高传感器品质的最佳选择。

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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8619/9887576/7326daecc8c7/11220_2022_409_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8619/9887576/fd22521e1d08/11220_2022_409_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8619/9887576/db9c3b185de3/11220_2022_409_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8619/9887576/4ffed5e914c9/11220_2022_409_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8619/9887576/eb7595a74aef/11220_2022_409_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8619/9887576/006d9dbfeddc/11220_2022_409_Fig12_HTML.jpg

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