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<p>This paper introduces an advanced optical biosensor designed for the highly sensitive detection of waterborne bacteria. The proposed biosensor relies on a Ge/LiF multilayer photonic crystal with a central defect layer, showcasing an innovative approach to improve sensitivity. The introduction of different water samples into the defect layer disrupts the photonic crystal's symmetry, resulting in a unique resonant peak within the photonic band gap. The transfer matrix method is used to analyze the bacterial sensor, considering variations in the photonic structure's central wavelength, incident angle, defect layer thickness, and number of periods. In addition, this study investigates the performance comparison between the TE and TM modes. To achieve the highest sensitivity in our design, we have discussed the procedure for optimizing the biosensor parameters. At optimized conditions, this proposed structure exhibits a sensitivity of 2896.82&#xa0;nm/RIU, a quality factor as high as 4243.5, and a figure of merit of 4298.5825 RIU<sup>−1</sup>. To emphasize the originality of our work, we have compared our results and previous research in the field of photonic biosensing. This comparison has revealed noteworthy enhancements in both sensitivity and performance.</p>

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High Sensitivity One-Dimensional Photonic Crystal Sensor Design for Waterborne Bacteria Detection

  • 期刊论文

  • 发表日期：

    2025年1月3日

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  • Md. Faysal Nayan,
  • Md. Arif Raihan,
  • Tanvir Ahmed,
  • Mahamudul Hassan Fuad,
  • Numayer Andalib Zaman,
  • Russel Reza Mahmud

摘要

This paper introduces an advanced optical biosensor designed for the highly sensitive detection of waterborne bacteria. The proposed biosensor relies on a Ge/LiF multilayer photonic crystal with a central defect layer, showcasing an innovative approach to improve sensitivity. The introduction of different water samples into the defect layer disrupts the photonic crystal's symmetry, resulting in a unique resonant peak within the photonic band gap. The transfer matrix method is used to analyze the bacterial sensor, considering variations in the photonic structure's central wavelength, incident angle, defect layer thickness, and number of periods. In addition, this study investigates the performance comparison between the TE and TM modes. To achieve the highest sensitivity in our design, we have discussed the procedure for optimizing the biosensor parameters. At optimized conditions, this proposed structure exhibits a sensitivity of 2896.82 nm/RIU, a quality factor as high as 4243.5, and a figure of merit of 4298.5825 RIU−1. To emphasize the originality of our work, we have compared our results and previous research in the field of photonic biosensing. This comparison has revealed noteworthy enhancements in both sensitivity and performance.