Design and Optimization of Refractive Index-based Spiral Shape Twin-core Photonic Crystal Fiber Sensor for Detection of Blood Components.

IF 1.8 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Shubham Sharma, Ajeet Kumar, Than Singh Saini
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引用次数: 0

Abstract

In this article, we have proposed a sensor capable of sensing and detecting various blood constituents within the terahertz frequency range. Our model has been constructed using COMSOL Multiphysics software, and we have analyzed the optical properties using the full vectorial finite-element method (FV-FEM). A solid core is chosen for the proposed sensor due to its unique ability to transmit light across a wide range of wavelengths. Since blood is a critical fluid in the human body, the identification of its components holds significant importance. Our innovative design features a spiral-shaped twin-core photonic crystal fiber (SSTC-PCF) sensor that targets key blood components having different refractive indices (RI), including water, plasma, white blood cells (WBCs), hemoglobin, and red blood cells (RBCs). The cladding in spiral geometry enhances the modal confinement and offers enhanced birefringence to our structure. In the proposed PCF design, different blood components are introduced into the small central elliptical hole serving as the sensing channel. Further, the sensing capabilities have been assessed by evaluating the coupling length and analyzing the transmission power spectrum, which has been calculated using the effective mode indices of the coupling modes. The presented model is simulated in the terahertz range (0.7-0.8 THz) to calculate optical properties. The proposed sensor is designed to work within a refractive index range of 1.33-1.40, allowing for effective detection of key blood components. The proposed SSTC-PCF sensor exhibits the highest sensitivity achieved at 5,75,511 nm/RIU with less coupling length and better than published previous works, which is the main feature of the proposed sensor. Additionally, maximum birefringence values for x-polarization are 3.27 × 10-3, 3.67 × 10-3, 3.90 × 10-3, 4.44 × 10-3 and 5.14 × 10-3 for water, plasma, WBC, Hemoglobin, and RBC, respectively, and the highest coupling length values for x-polarization are 0.09 m for water, 0.08 m for plasma, 0.08 m for WBCs, 0.07 m for hemoglobin, and 0.06 m for RBC. This sensor design offers high sensitivity and a short coupling length, making it suitable for various applications in the biomedical field.

基于折射率的螺旋形双芯光子晶体光纤血液成分检测传感器的设计与优化。
在这篇文章中,我们提出了一种能够在太赫兹频率范围内感知和检测各种血液成分的传感器。我们使用COMSOL Multiphysics软件构建了模型,并使用全矢量有限元法(FV-FEM)分析了光学特性。由于该传感器具有在宽波长范围内传输光的独特能力,因此选择了固体核心。由于血液是人体的一种重要液体,因此鉴定其成分具有重要意义。我们的创新设计采用螺旋形双核光子晶体光纤(SSTC-PCF)传感器,针对具有不同折射率(RI)的关键血液成分,包括水、血浆、白细胞(wbc)、血红蛋白和红细胞(rbc)。螺旋几何的包层增强了模态约束,并为结构提供了增强的双折射。在所提出的PCF设计中,不同的血液成分被引入到中心的小椭圆孔中作为传感通道。利用耦合模式的有效模式指数计算了传输功率谱,通过对耦合长度的评估和传输功率谱的分析,对传感能力进行了评估。该模型在太赫兹(0.7-0.8太赫兹)范围内进行了仿真,计算了光学特性。该传感器设计在1.33-1.40的折射率范围内工作,允许有效检测关键血液成分。该SSTC-PCF传感器在5,75,511 nm/RIU处具有最高的灵敏度,耦合长度更短,优于已有的研究成果,这是该传感器的主要特点。此外,水、血浆、白细胞、血红蛋白和红细胞的x偏振最大双折射值分别为3.27 × 10-3、3.67 × 10-3、3.90 × 10-3、4.44 × 10-3和5.14 × 10-3,水、血浆、白细胞、血红蛋白和红细胞的x偏振最大耦合长度值分别为0.09 m、0.08 m、0.08 m、0.07 m和0.06 m。该传感器设计具有高灵敏度和短耦合长度,适用于生物医学领域的各种应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Cell Biochemistry and Biophysics
Cell Biochemistry and Biophysics 生物-生化与分子生物学
CiteScore
4.40
自引率
0.00%
发文量
72
审稿时长
7.5 months
期刊介绍: Cell Biochemistry and Biophysics (CBB) aims to publish papers on the nature of the biochemical and biophysical mechanisms underlying the structure, control and function of cellular systems The reports should be within the framework of modern biochemistry and chemistry, biophysics and cell physiology, physics and engineering, molecular and structural biology. The relationship between molecular structure and function under investigation is emphasized. Examples of subject areas that CBB publishes are: · biochemical and biophysical aspects of cell structure and function; · interactions of cells and their molecular/macromolecular constituents; · innovative developments in genetic and biomolecular engineering; · computer-based analysis of tissues, cells, cell networks, organelles, and molecular/macromolecular assemblies; · photometric, spectroscopic, microscopic, mechanical, and electrical methodologies/techniques in analytical cytology, cytometry and innovative instrument design For articles that focus on computational aspects, authors should be clear about which docking and molecular dynamics algorithms or software packages are being used as well as details on the system parameterization, simulations conditions etc. In addition, docking calculations (virtual screening, QSAR, etc.) should be validated either by experimental studies or one or more reliable theoretical cross-validation methods.
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