Numerical investigation of PCF-based biosensor for pathologies detection in blood

A photonic crystal fiber (PCF) based surface plasmon resonance (SPR) biosensor has been proposed for detecting the concentration of albumin (ALB), urea, glucose, and hemoglobin (Hb) in blood samples. The sensor features a square lattice PCF design with an optimized plasmonic gold coating, ensuring strong light-matter interaction for enhanced sensitivity. The finite element method (FEM) is employed to numerically evaluate the sensor's performance, analyzing wavelength sensitivity (WS), signal-to-noise ratio (SNR), detection limit (DL), and confinement loss. The proposed sensor achieves a maximum WS of 20,000 nm/RIU for detecting ALB (600–1000 mg/dL) and urea (2.5 g/dL), while glucose and Hb detection reach 10,000 nm/RIU and 5000 nm/RIU, respectively. Additionally, the sensor exhibits an exceptionally low DL and strong linear response, demonstrating its feasibility for high precision biosensing. With its high sensitivity, compact structure, and simplified fabrication, this PCF-SPR biosensor presents a robust, label-free, and real-time diagnostic tool for biomedical and clinical applications. This work establishes a foundation for future experimental validation and integration into point-of-care healthcare systems.

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Publication Details

Journal
Sensing and Bio-Sensing Research
Published
2026-01-01
DOI
https://doi.org/10.1016/j.sbsr.2026.100961
Primary Topic
Advanced Fiber Optic Sensors
Type
article
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article

Numerical investigation of PCF-based biosensor for pathologies detection in blood

Emranul Haque, Di Wang, Ruhai Wang, S.M Rakibul Islam et al.
Sensing and Bio-Sensing Research
Advanced Fiber Optic Sensors
article

Numerical investigation of PCF-based biosensor for pathologies detection in blood

Emranul Haque, Di Wang, Ruhai Wang, S.M Rakibul Islam, Md. Rubayet Islam, Feroz Ahmed, Abdullah Al Noman
article en

Abstract

A photonic crystal fiber (PCF) based surface plasmon resonance (SPR) biosensor has been proposed for detecting the concentration of albumin (ALB), urea, glucose, and hemoglobin (Hb) in blood samples. The sensor features a square lattice PCF design with an optimized plasmonic gold coating, ensuring strong light-matter interaction for enhanced sensitivity. The finite element method (FEM) is employed to numerically evaluate the sensor's performance, analyzing wavelength sensitivity (WS), signal-to-noise ratio (SNR), detection limit (DL), and confinement loss. The proposed sensor achieves a maximum WS of 20,000 nm/RIU for detecting ALB (600–1000 mg/dL) and urea (2.5 g/dL), while glucose and Hb detection reach 10,000 nm/RIU and 5000 nm/RIU, respectively. Additionally, the sensor exhibits an exceptionally low DL and strong linear response, demonstrating its feasibility for high precision biosensing. With its high sensitivity, compact structure, and simplified fabrication, this PCF-SPR biosensor presents a robust, label-free, and real-time diagnostic tool for biomedical and clinical applications. This work establishes a foundation for future experimental validation and integration into point-of-care healthcare systems.

Sensing and Bio-Sensing Research
Minzu University of China (CN), Lamar University (US), Independent University, Bangladesh (BD)
Openalex Percentile: Top 94%
Advanced Fiber Optic Sensors
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Numerical investigation of PCF-based biosensor for pathologies detection in blood — Emranul Haque, Di Wang, et al. · Sensing and Bio-Sensing Research (2026) | TGRS Research Map | TGRS