No-core fiber by self-image length optimization for optical based refractive index sensor

Razali, Nazirah Mohd; Lokman, Muhammad Quisar; Zuikafly, Siti Nur Fatin; Ahmad, Fauzan; Rahman, Mohd Azizi Abdul; Yahaya, Hafizal; Harun, Sulaiman Wadi

doi:10.1016/j.yofte.2022.103133

Cited by 4 publications

(1 citation statement)

References 29 publications

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“…These self-image points correspond to exact replicas of the input field at the CSF/external medium interface and correspond to lower loss points. Their position, L CSF , can be determined by the following equation [19]:…”

Section: Sensor Design and Principle Operationmentioning

confidence: 99%

Enhanced Sensitivity in Optical Sensors through Self-Image Theory and Graphene Oxide Coating

Cunha,

Monteiro,

Vaz

et al. 2024

Sensors

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This paper presents an approach to enhancing sensitivity in optical sensors by integrating self-image theory and graphene oxide coating. The sensor is specifically engineered to quantitatively assess glucose concentrations in aqueous solutions that simulate the spectrum of glucose levels typically encountered in human saliva. Prior to sensor fabrication, the theoretical self-image points were rigorously validated using Multiphysics COMSOL 6.0 software. Subsequently, the sensor was fabricated to a length corresponding to the second self-image point (29.12 mm) and coated with an 80 µm/mL graphene oxide film using the Layer-by-Layer technique. The sensor characterization in refractive index demonstrated a wavelength sensitivity of 200 ± 6 nm/RIU. Comparative evaluations of uncoated and graphene oxide-coated sensors applied to measure glucose in solutions ranging from 25 to 200 mg/dL showed an eightfold sensitivity improvement with one bilayer of Polyethyleneimine/graphene. The final graphene oxide-based sensor exhibited a sensitivity of 10.403 ± 0.004 pm/(mg/dL) and demonstrated stability with a low standard deviation of 0.46 pm/min and a maximum theoretical resolution of 1.90 mg/dL.

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Section: Sensor Design and Principle Operationmentioning

confidence: 99%