Analysis of Tapered Fibre Optic Surface Plasmon Resonance Bio-Sensor Chip With Highly Perturbed Taper Profiles

IF 3.7 4区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS IEEE Transactions on NanoBioscience Pub Date : 2024-03-13 DOI:10.1109/TNB.2024.3376824
Sanjeev Kumar Raghuwanshi
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Abstract

A numerical model based on the Transfer matrix method (TMM) is proposed for the first time to study the gold coated tapered fibre optic surface plasmon resonance (SPR) with eight different types of taper profiles namely linear, exponential-linear, Gaussian, quadratic, sinusoidal, error function type and highly perturbed taper profile so-called chirp type of profile. The performance in terms of sensitivity, full width at half maximum (FWHM), detection accuracy (D.A.), amplitude dip, and half power points are estimated with respect to tapering ratio and choices of taper profile. It is found that sensitivity increased almost linearly with the taper ratio of each taper choice for the account of the reduction of detection accuracy. It has been found that sensitivity is highest for the case of chirp taper profile and lowest for the case of quadratic taper profile at low taper ratio. In this study, the aqueous solution is considered for sensor development which is adulterated by biomolecules species like DNA, blood samples, etc.
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分析锥形光纤表面等离子体共振生物传感器芯片的高扰动锥形轮廓。
首次提出了一个基于转移矩阵法(TMM)的数值模型,用于研究具有八种不同锥度剖面类型(即线性、指数线性、高斯、二次方、正弦、误差函数型和高扰动锥度剖面,即所谓的啁啾型剖面)的镀金锥形光纤表面等离子体共振(SPR)。对灵敏度、半最大全宽(FWHM)、检测精度(D.A.)、振幅倾角和半功率点等方面的性能进行了估计,并考虑了锥度比和锥度轮廓的选择。结果发现,灵敏度几乎随着每种锥度选择的锥度比的增加而线性增加,但检测精度却有所降低。研究发现,在锥度比较低的情况下,啁啾锥度轮廓的灵敏度最高,而二次锥度轮廓的灵敏度最低。在这项研究中,水溶液被视为传感器开发的对象,其中掺杂了 DNA、血液样本等生物大分子。
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来源期刊
IEEE Transactions on NanoBioscience
IEEE Transactions on NanoBioscience 工程技术-纳米科技
CiteScore
7.00
自引率
5.10%
发文量
197
审稿时长
>12 weeks
期刊介绍: The IEEE Transactions on NanoBioscience reports on original, innovative and interdisciplinary work on all aspects of molecular systems, cellular systems, and tissues (including molecular electronics). Topics covered in the journal focus on a broad spectrum of aspects, both on foundations and on applications. Specifically, methods and techniques, experimental aspects, design and implementation, instrumentation and laboratory equipment, clinical aspects, hardware and software data acquisition and analysis and computer based modelling are covered (based on traditional or high performance computing - parallel computers or computer networks).
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