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<p>A two- dimensional photonic crystal-based biosensor has been used for kidney diseases detection. The proposed structure has the dimension of silicon rods as 21*19 in air background. It has been used for the detection of glucose, albumin, urea and creatinine concentration in blood and urine samples. It senses changes in concentration/refractive index due to the blood and urine components existing in the sample. The proposed device is investigated by considering the electric field distribution spectra and photonic bandgap of the materials at a resonant wavelength by using plane wave expansion methods (PWE) and finite difference time domain methods (FDTD). The simulation results evaluate the remarkable sensitivity (2300&#xa0;nm/RIU), quality factor (1562), and detection limit (0.000441) RIU for glucose, and the sensitivity (5200&#xa0;nm/RIU &amp; 3400&#xa0;nm/RIU), quality factor (1559 &amp; 1558.7), and detection limit (0.000190 &amp; 0.000438) RIU for albumin and urea in urine sample. Also, for creatinine concentration in blood sample, sensitivity (952.4&#xa0;nm/RIU), quality factor (244), and detection limit (0.00682) RIU have been achieved.</p>

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Chronic kidney disease detection device using 2D photonic crystals

  • 期刊论文

  • 发表日期：

    2025年11月13日

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  • Sanjeev Sharma,
  • Sri Krishana Singh,
  • Rajesh Kumar Tewari,
  • Manvinder Singh,
  • Prakash Ranjan Deen

摘要

A two- dimensional photonic crystal-based biosensor has been used for kidney diseases detection. The proposed structure has the dimension of silicon rods as 21*19 in air background. It has been used for the detection of glucose, albumin, urea and creatinine concentration in blood and urine samples. It senses changes in concentration/refractive index due to the blood and urine components existing in the sample. The proposed device is investigated by considering the electric field distribution spectra and photonic bandgap of the materials at a resonant wavelength by using plane wave expansion methods (PWE) and finite difference time domain methods (FDTD). The simulation results evaluate the remarkable sensitivity (2300 nm/RIU), quality factor (1562), and detection limit (0.000441) RIU for glucose, and the sensitivity (5200 nm/RIU & 3400 nm/RIU), quality factor (1559 & 1558.7), and detection limit (0.000190 & 0.000438) RIU for albumin and urea in urine sample. Also, for creatinine concentration in blood sample, sensitivity (952.4 nm/RIU), quality factor (244), and detection limit (0.00682) RIU have been achieved.