调谐双金属、MXene 和石墨烯基 SPR 生物传感器的灵敏度以快速检测疟疾:一种数值方法

IF 2.2 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Journal of Computational Electronics Pub Date : 2024-06-17 DOI:10.1007/s10825-024-02191-4
Bhishma Karki, Arun Uniyal, Manoj Sharma, Ram Bharos Yadav, Parusharamulu Buduma
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引用次数: 0

摘要

表面等离子体共振(SPR)生物传感器在快速灵敏地检测不同生物分子方面的潜力备受关注。在这项工作中,我们采用数值方法,通过探索基于双金属层、MXene 层和石墨烯层的 SPR 传感器的灵敏度调整来识别疟疾阶段。疟疾是一种由疟原虫引起的潜在致命疾病,其有效治疗取决于早期识别。由于传统诊断程序往往缺乏灵敏度和速度,因此有必要采用创新的生物传感技术。本研究采用传递矩阵法进行反射率计算。COMSOL 软件可以计算出各层界面上的电场分布。拟议工作的最大灵敏度为 301.1667°/RIU。
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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Tuning sensitivity of bimetallic, MXene and graphene-based SPR biosensors for rapid malaria detection: a numerical approach

The potential of surface plasmon resonance (SPR) biosensors to detect different biomolecules quickly and sensitively has attracted much attention. In this work, we use a numerical method to identify malaria phases by exploring the sensitivity adjustment of SPR sensors based on bimetallic, MXene and graphene layers. Effective treatment for malaria, a potentially fatal disease brought on by plasmodium parasites, depends on early identification. Innovative biosensing technologies are necessary since traditional diagnostic procedures frequently lack sensitivity and speed. The transfer matrix method is employed here in this study for reflectance calculation. The COMSOL software finds the electric field distribution across the various layers interfaces. The maximum sensitivity of 301.1667°/RIU has been attained for the proposed work.

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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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