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<p>Photonic crystal (PHC) sensors offer high sensitivity for chemical detection in industrial and biomedical settings. We theoretically design and optimize a 1D binary PHC, (Si/SiO<sub>2</sub>)<sup>N</sup>/defect/(Si/SiO<sub>2</sub>)<sup>N</sup>, for broadband detection of organic analytes introduced into the central defect. Using the transfer-matrix method, we compute transmission while varying refractive-index contrast, defect thickness, period number, and incident angle. Sensitivity increases with larger defect thickness, higher incident angle, and greater index contrast. Across analysis indices 1.33–1.66, the sensor attains 1500–1990&#xa0;nm/RIU. Empirical fitting equations relate sensitivity to structural/optical parameters, enabling accurate prediction and rapid optimization without repeated simulations. These results support integration of this tunable, high-performance design into real-time broadband chemical sensing systems.</p>

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Broadband Chemical Sensing with 1D Photonic Crystals: EMPIRICAL Performance Models from Transfer Matrix Method

  • 期刊论文

  • 发表日期：

    2026年2月19日

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  • Samer M. Srour,
  • Anas A. M. Alqanoo,
  • Sofyan A. Taya

摘要

Photonic crystal (PHC) sensors offer high sensitivity for chemical detection in industrial and biomedical settings. We theoretically design and optimize a 1D binary PHC, (Si/SiO2)N/defect/(Si/SiO2)N, for broadband detection of organic analytes introduced into the central defect. Using the transfer-matrix method, we compute transmission while varying refractive-index contrast, defect thickness, period number, and incident angle. Sensitivity increases with larger defect thickness, higher incident angle, and greater index contrast. Across analysis indices 1.33–1.66, the sensor attains 1500–1990 nm/RIU. Empirical fitting equations relate sensitivity to structural/optical parameters, enabling accurate prediction and rapid optimization without repeated simulations. These results support integration of this tunable, high-performance design into real-time broadband chemical sensing systems.