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<p>This study introduces and statistically evaluates an oil sensor made from circular-shaped hollow-core photonic crystal fiber, designed to operate within the wavelength range of 1.0–2.0&#xa0;μm. The finite element method-based COMSOL Multiphysics, a commercially available tool has been employed for the performance of the sensor. Simulation findings reveal that the model achieves over 95% relative sensitivity and effective refractive index are 1.37464, 1.38929, 1.39177, 1.39507 and 1.39674 across various edible oils at 1.8&#xa0;μm, assuming ideal geometric parameters. Moreover, the sensor demonstrates less confinement loss, nonlinearity and high birefringence under optimized geometry and working state. The suggested model can be manufactured employing standard production methods and its exceptional sensing capabilities could position it as a crucial portion in practical oil identification systems.</p>

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Numerical modelling of highly efficient PCF based sensor for edible oil detection

  • 期刊论文

  • 发表日期：

    2025年1月11日

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  • Sapana Yadav,
  • Pooja Lohia,
  • D. K. Dwivedi

摘要

This study introduces and statistically evaluates an oil sensor made from circular-shaped hollow-core photonic crystal fiber, designed to operate within the wavelength range of 1.0–2.0 μm. The finite element method-based COMSOL Multiphysics, a commercially available tool has been employed for the performance of the sensor. Simulation findings reveal that the model achieves over 95% relative sensitivity and effective refractive index are 1.37464, 1.38929, 1.39177, 1.39507 and 1.39674 across various edible oils at 1.8 μm, assuming ideal geometric parameters. Moreover, the sensor demonstrates less confinement loss, nonlinearity and high birefringence under optimized geometry and working state. The suggested model can be manufactured employing standard production methods and its exceptional sensing capabilities could position it as a crucial portion in practical oil identification systems.