Analytical performance of a 2D photonic crystal nanocavity sensor for hemoglobin concentration measurement

IF 2.5 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Shivesh Kumar, Mrinal Sen, Haraprasad Mondal, Himanshu Ranjan Das
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Abstract

This study presents a two-dimensional photonic crystal nanocavity biosensor design that incorporates holes within a silicon slab to detect the hemoglobin concentration in blood. Since the refractive index of blood varies linearly with hemoglobin concentration, examining samples with different refractive indices enables accurate quantification of hemoglobin levels. The performance of the sensor is evaluated using the finite-difference time-domain (FDTD) method to observe resonance wavelength shifts at the output port for different blood analytes. Additionally, the photonic band structure is examined through the plane-wave expansion (PWE) method. Variations in the refractive indices of blood components result in corresponding shifts in resonant wavelength and output power. The sensor is designed to precisely measure and monitor hemoglobin concentration for clinical and diagnostic applications while maintaining a simplified fabrication process for enhanced efficiency and cost-effectiveness. The proposed device demonstrates excellent sensing performance, with a high sensitivity of 789.5 nm/RIU, a high quality factor of 1.5254\(\times\)10\(^\textrm{5}\), a low detection limit of 1.282\(\times\)10\(^{-6}\) RIU, and an impressive figure of merit of 7.80065\(\times\)10\(^\textrm{4}\) RIU \(^\mathrm{-1}\). The device demonstrates reliable performance throughout temperatures ranging from 0 to 90 \(^{\circ }\)C. Furthermore, considering the susceptibility of photonic crystal structures to fabrication imperfections, the study includes an in-depth evaluation of their impact on sensor performance to ensure reliability in real-world applications. With its compact footprint of 95.48 \(\mu \text {m}^2\) and excellent sensing capabilities, the proposed biosensor is well-suited for label-free medical diagnostics and photonic integrated circuits.

用于血红蛋白浓度测量的二维光子晶体纳米腔传感器的分析性能
本研究提出了一种二维光子晶体纳米腔生物传感器设计,该传感器在硅板内结合孔来检测血液中的血红蛋白浓度。由于血液的折射率随血红蛋白浓度呈线性变化,因此检测具有不同折射率的样品可以准确定量血红蛋白水平。利用时域有限差分(FDTD)方法对传感器的性能进行了评估,观察了不同血液分析物在输出端口的共振波长位移。此外,通过平面波展开(PWE)方法对光子带结构进行了研究。血液成分折射率的变化导致共振波长和输出功率的相应变化。该传感器旨在精确测量和监测血红蛋白浓度,用于临床和诊断应用,同时保持简化的制造过程,以提高效率和成本效益。该器件具有良好的传感性能,高灵敏度为789.5 nm/RIU,高品质因子为1.5254 \(\times\) 10 \(^\textrm{5}\),低检测限为1.282 \(\times\) 10 \(^{-6}\) RIU,优异值为7.80065 \(\times\) 10 \(^\textrm{4}\) RIU \(^\mathrm{-1}\)。该器件在0到90 \(^{\circ }\)℃的温度范围内表现出可靠的性能。此外,考虑到光子晶体结构对制造缺陷的敏感性,该研究包括对其对传感器性能影响的深入评估,以确保在实际应用中的可靠性。该生物传感器具有紧凑的占地面积95.48 \(\mu \text {m}^2\)和出色的传感能力,非常适合无标签医疗诊断和光子集成电路。
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来源期刊
Journal of Computational Electronics
Journal of Computational Electronics ENGINEERING, ELECTRICAL & ELECTRONIC-PHYSICS, APPLIED
CiteScore
4.50
自引率
4.80%
发文量
142
审稿时长
>12 weeks
期刊介绍: he Journal of Computational Electronics brings together research on all aspects of modeling and simulation of modern electronics. This includes optical, electronic, mechanical, and quantum mechanical aspects, as well as research on the underlying mathematical algorithms and computational details. The related areas of energy conversion/storage and of molecular and biological systems, in which the thrust is on the charge transport, electronic, mechanical, and optical properties, are also covered. In particular, we encourage manuscripts dealing with device simulation; with optical and optoelectronic systems and photonics; with energy storage (e.g. batteries, fuel cells) and harvesting (e.g. photovoltaic), with simulation of circuits, VLSI layout, logic and architecture (based on, for example, CMOS devices, quantum-cellular automata, QBITs, or single-electron transistors); with electromagnetic simulations (such as microwave electronics and components); or with molecular and biological systems. However, in all these cases, the submitted manuscripts should explicitly address the electronic properties of the relevant systems, materials, or devices and/or present novel contributions to the physical models, computational strategies, or numerical algorithms.
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