RETRACTED: High-Sensitivity Biosensor Based on Glass Resonance PhC Cavities for Detection of Blood Component and Glucose Concentration in Human Urine

  • Abduladheem Turki Jalil
  • , Shameen Ashfaq
  • , Dmitry Olegovich Bokov
  • , Amer M. Alanazi
  • , Kadda Hachem
  • , Wanich Suksatan
  • , Mika Sillanpää

Research output: Contribution to journalArticlepeer-review

44 Citations (Scopus)

Abstract

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
Issue number12
DOIs
Publication statusPublished - Dec 2021

Keywords

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

ASJC Scopus subject areas

  • Surfaces and Interfaces
  • Surfaces, Coatings and Films
  • Materials Chemistry

Fingerprint

Dive into the research topics of 'RETRACTED: High-Sensitivity Biosensor Based on Glass Resonance PhC Cavities for Detection of Blood Component and Glucose Concentration in Human Urine'. Together they form a unique fingerprint.

Cite this