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High-sensitivity biosensor based on glass resonance PhC cavities for detection of blood component and glucose concentration in human urine

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DOI

  • Abduladheem Turki Jalil, Yanka Kupala State University of Grodno, The Islamic University, Najaf, Kut University College
  • ,
  • Shameen Ashfaq, Women Medical Officer Punjab Health Department
  • ,
  • Dmitry Olegovich Bokov, Sechenov First Moscow State Medical University, Laboratory of Food Chemistry
  • ,
  • Amer M. Alanazi, King Saud University
  • ,
  • Kadda Hachem, University of Saida—Dr Moulay Tahar
  • ,
  • Wanich Suksatan, Chulabhorn Research Institute
  • ,
  • Mika Sillanpää

In this work, a novel structure of an all-optical biosensor based on glass resonance cavities with high detection accuracy and sensitivity in two-dimensional photon crystal is designed and simulated. The free spectral range in which the structure performs well is about FSR = 630 nm. This sensor measures the concentration of glucose in human urine. Analyses to determine the glucose concentration in urine for a normal range (0~15 mg/dL) and urine despite glucose concentrations of 0.625, 1.25, 2.5, 5 and 10 g/dL in the wavelength range 1.326404~1.326426 μm have been conducted. The detection range is RIU = 0.2 × 10−7. The average bandwidth of the output resonance wavelengths is 0.34 nm in the lowest case. In the worst case, the percentage of optical signal power transmission is 77% with an amplitude of 1.303241 and, in the best case, 100% with an amplitude of 1.326404. The overall dimensions of the biosensor are 102.6 μm2 and the sensitivity is equal to S = 1360.02 nm/RIU and the important parameter of the Figure of Merit (FOM) for the proposed biosensor structure is equal to FOM = 1320.23 RIU−1.

Original languageEnglish
Article number1555
JournalCoatings
Volume11
Issue12
DOIs
Publication statusPublished - Dec 2021

Bibliographical note

Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.

    Research areas

  • Glucose concentration, High-sensitivity, Optical biosensors, Quality factor

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