Akademik Veri Yönetim Sistemi
Molecular Crystals and Liquid Crystals, 2025 (SCI-Expanded, Scopus)
This study theoretically investigated a refractive index-based one-dimensional photonic crystal (1D PC) biosensor for detecting diabetes in human tear samples. The periodic structure comprises alternating layers of silicon dioxide (SiO2) and silicon (Si) and incorporates a defect layer that gives rise to sharp transmission resonances within the photonic band gap. When healthy and diabetic tear samples are introduced into the defect layer, changes in the refractive index occur, resulting in measurable shifts in the defect mode wavelength. Monitoring these resonance changes enables the detection of diabetes with high accuracy from tear samples. The impedance approach is used for transmission spectrum analysis. Sensor performance has been enhanced through the optimization of structural parameters, including the defect layer thickness and the number of periods. Under the optimal conditions, the proposed biosensor achieves a sensitivity of 4900.49 nm/RIU, a quality factor of 0.1314 × 103, and a detection limit of 0.8565 × 10−3 RIU, which demonstrates a significant improvement over existing diagnostic approaches. This compact, cost-effective photonic structure offers a promising method for detecting diabetes in human tears.