Machine Learning-Enhanced Surface Plasmon Resonance Sensor with D-Shaped Dual-Core Photonic Crystal Fiber Design.

IF 3.1 4区化学 Q2 BIOCHEMICAL RESEARCH METHODS

Journal of Fluorescence Pub Date : 2025-06-04 DOI:10.1007/s10895-025-04384-x

Assia Hamzaoui, Abdelaziz Aouiche, Soraya Gouder, Houssam Eddine Abdellatif, Shan Ali Khan, Ahmed Belaadi

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引用次数: 0

Abstract

A D-shaped dual-core surface plasmon resonance (SPR) sensor based on photonic crystal fibers (PCFs) has been created, and its sensing capabilities were evaluated through the finite element method (FEM). The design features a square lattice arrangement of air holes, with two central holes removed to form a D-shaped dual-core structure. The sensor's performance was assessed using both wavelength and amplitude interrogation approaches. It achieved a maximum wavelength sensitivity of 16,000 nm/RIU for y-polarized light at an analyte refractive index (RI) of 1.38, along with a peak amplitude sensitivity of 765.21 RIU^-1 at the same RI, and a wavelength resolution of 2.5 × 10^-6 RIU. Furthermore, machine learning (ML) techniques, particularly artificial neural networks (ANN), were employed to predict confinement loss (CL) with high accuracy, without the need for the imaginary component of the effective RI. For an RI of 1.32, the ANN model achieved a mean squared error (MSE) of 3.5363 × 10^-6, showcasing the model's reliability in forecasting sensor performance.

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d型双核光子晶体光纤的机器学习增强表面等离子体共振传感器设计。

研制了一种基于光子晶体光纤（PCFs）的d型双核表面等离子体共振（SPR）传感器，并通过有限元法对其传感能力进行了评价。设计特点是空气孔的方形晶格排列，去掉两个中心孔，形成d形双核结构。利用波长和振幅询问方法对传感器的性能进行了评估。在分析物折射率（RI）为1.38时，y偏振光的最大波长灵敏度为16000 nm/RIU，峰值振幅灵敏度为765.21 RIU-1，波长分辨率为2.5 × 10-6 RIU。此外，机器学习（ML）技术，特别是人工神经网络（ANN），被用于高精度预测约束损失（CL），而不需要有效RI的虚分量。当RI为1.32时，ANN模型的均方误差（MSE）为3.5363 × 10-6，表明该模型在预测传感器性能方面具有较高的可靠性。

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来源期刊

Journal of Fluorescence 化学-分析化学

CiteScore

4.60

自引率

7.40%

发文量

203

审稿时长

5.4 months

期刊介绍： Journal of Fluorescence is an international forum for the publication of peer-reviewed original articles that advance the practice of this established spectroscopic technique. Topics covered include advances in theory/and or data analysis, studies of the photophysics of aromatic molecules, solvent, and environmental effects, development of stationary or time-resolved measurements, advances in fluorescence microscopy, imaging, photobleaching/recovery measurements, and/or phosphorescence for studies of cell biology, chemical biology and the advanced uses of fluorescence in flow cytometry/analysis, immunology, high throughput screening/drug discovery, DNA sequencing/arrays, genomics and proteomics. Typical applications might include studies of macromolecular dynamics and conformation, intracellular chemistry, and gene expression. The journal also publishes papers that describe the synthesis and characterization of new fluorophores, particularly those displaying unique sensitivities and/or optical properties. In addition to original articles, the Journal also publishes reviews, rapid communications, short communications, letters to the editor, topical news articles, and technical and design notes.