Detection of Marijuana in blood using GaAs substrate based photonic sensor

D. Roy, Dhruva R Beltur, P. Sharan
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引用次数: 1

Abstract

Marijuana apart from its slight usage in certain medical departments is a very harmful drug if consumed on a regular basis. Detection of Marijuana in blood is a must to identify the addicted person and provide treatment. In current study, we have proposed detection and analysis of drugs in blood by using the Photonic Crystal (PHC) based sensor. A two-dimensional PHC based double ring resonator structure is thereby used to detect its presence. Here, we have used GaAs (Gallium Arsenide) substrate. The objective is to provide fabricator an ideal basis for the production ready design. While designing our emphasis was not compromise on efficiency and sensitivity of the device. MEEP Simulation tool was used for implementation of Finite Difference Time Domain (FDTD) method for modelling the double ring resonator structure. Output transmitted spectrum shows shift in frequency because of change in refractive index due to presence of Marijuana in blood (analyte). The sensor can differentiate between the signature of normal and drug infected blood. A high quality factor obtained of 27,692 for normal blood and 17,149 for marijuana contaminated blood. The novelty of the work is use of GaAs and double ring resonator structure.
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基于GaAs衬底的光子传感器检测血液中的大麻
大麻除了在某些医疗部门少量使用外,如果经常使用,它是一种非常有害的药物。在血液中检测大麻是识别成瘾者并提供治疗的必要条件。在目前的研究中,我们提出了利用光子晶体(PHC)传感器检测和分析血液中的药物。因此,使用基于二维PHC的双环谐振器结构来检测其存在。在这里,我们使用了砷化镓(GaAs)衬底。目的是为制造商提供生产准备设计的理想基础。在设计时,我们的重点是不妥协的效率和灵敏度的设备。利用MEEP仿真工具实现了双环谐振器结构的时域有限差分(FDTD)建模方法。由于大麻在血液(分析物)中的存在导致折射率的变化,输出透射光谱显示频率的变化。该传感器可以区分正常血液和药物感染血液的特征。正常血液的高质量因子为27,692,大麻污染血液的高质量因子为17,149。这项工作的新颖之处在于使用了砷化镓和双环谐振腔结构。
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