Multi-resonant Ag–AZO based PCF-SPR sensor for highly sensitive ethylene glycol detection in industrial applications

Abstract A dual-plasmonic Surface Plasmon Resonance (SPR) based Photonic Crystal Fiber (PCF) sensor incorporating silver (Ag) and aluminum-doped zinc oxide (AZO) layers is proposed for high-precision detection of ethylene glycol (EG) concentration. The PCF structure, designed using the Finite Element Method (FEM) in COMSOL Multiphysics, employs two plasmonic materials that generate multiple confinement-loss peaks, enabling enhanced detection over a broad spectral range. The novelty of the proposed configuration lies in exploiting the distinct plasmonic dispersion characteristics of Ag and AZO within a single PCF platform to support multiple spectrally separated resonance modes, including AZO-dominated, Ag-dominated, and hybrid Ag–AZO resonances. EG concentration is quantified through its corresponding refractive index variation, allowing accurate monitoring across 0–80% EG by weight. The sensor achieves an ultra-high wavelength sensitivity of 117,300 nm/RIU, an amplitude sensitivity of 2339 RIU −1 , a detection resolution of 8.53 × 10 −7 RIU, along with excellent linearity of 0.99808. A high figure of merit of 690 RIU −1 further confirms the superior detection sharpness enabled by the Ag–AZO dual-layer design. Owing to its compact geometry, multi-resonant response, and high sensitivity, the proposed SPR-PCF sensor shows promising performance for precise EG concentration monitoring in industrial and pharmaceutical applications where accurate concentration control is required.

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Publication Details

Journal
Scientific Reports
Published
2026-09-30
DOI
https://doi.org/10.1038/s41598-026-74120-3
Primary Topic
Advanced Fiber Optic Sensors
Type
article
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article

Multi-resonant Ag–AZO based PCF-SPR sensor for highly sensitive ethylene glycol detection in industrial applications

Tahmina Tabassum Treena, Nasir Muhammad Munim, Mohammad Ataul Karim
Scientific Reports
Advanced Fiber Optic Sensors
article

Multi-resonant Ag–AZO based PCF-SPR sensor for highly sensitive ethylene glycol detection in industrial applications

Tahmina Tabassum Treena, Nasir Muhammad Munim, Mohammad Ataul Karim
article en

Abstract

Abstract A dual-plasmonic Surface Plasmon Resonance (SPR) based Photonic Crystal Fiber (PCF) sensor incorporating silver (Ag) and aluminum-doped zinc oxide (AZO) layers is proposed for high-precision detection of ethylene glycol (EG) concentration. The PCF structure, designed using the Finite Element Method (FEM) in COMSOL Multiphysics, employs two plasmonic materials that generate multiple confinement-loss peaks, enabling enhanced detection over a broad spectral range. The novelty of the proposed configuration lies in exploiting the distinct plasmonic dispersion characteristics of Ag and AZO within a single PCF platform to support multiple spectrally separated resonance modes, including AZO-dominated, Ag-dominated, and hybrid Ag–AZO resonances. EG concentration is quantified through its corresponding refractive index variation, allowing accurate monitoring across 0–80% EG by weight. The sensor achieves an ultra-high wavelength sensitivity of 117,300 nm/RIU, an amplitude sensitivity of 2339 RIU −1 , a detection resolution of 8.53 × 10 −7 RIU, along with excellent linearity of 0.99808. A high figure of merit of 690 RIU −1 further confirms the superior detection sharpness enabled by the Ag–AZO dual-layer design. Owing to its compact geometry, multi-resonant response, and high sensitivity, the proposed SPR-PCF sensor shows promising performance for precise EG concentration monitoring in industrial and pharmaceutical applications where accurate concentration control is required.

Scientific Reports
University of Massachusetts Dartmouth (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 22%
Advanced Fiber Optic Sensors
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Multi-resonant Ag–AZO based PCF-SPR sensor for highly sensitive ethylene glycol detection in industrial applications — Tahmina Tabassum Treena, Nasir Muhammad Munim, et al. · Scientific Reports (2026) | TGRS Research Map | TGRS