<p>Early detection of cancer reduces mortality and improves patient outcomes. For this purpose, a high-sensitivity optical sensor based on a one-dimensional defective graphene photonic crystal is designed and specifically adapted to the detection of liver cancer cells. The optical structure (HLH)<sup>N</sup> (D) (HLH)<sup>N</sup> involves two dielectrics with High and Low refractive index arranged in sequences (HLH) repeated N times and separated by a defect layers composed of human liver tissues (D). Absorption losses in all materials are fully considered. The defect transmission modes appearing in the otherwise forbidden gap allow probing the refractive index of liver tissues with interferometric sensitivity. To improve the quality factor of the defect modes, two graphene layers (G) are added in structure (HLH)<sup>N</sup> (GDG) (HLH)<sup>N</sup>. Optimization of N, the thicknesses of graphene layers, human liver tissue, and the incident angle yield a device with an important sensitivity of 862&#xa0;nm/RIU, a high quality factor of 4224, and an overall transmission of 93%. The proposed optical sensor indeed has the capacity to discriminate between healthy and cancerous cells and guide the experimental realization of devices for the diagnostic of liver cancer in human tissues.</p>

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High-performance polychromatic filter based on 1D graphene photonic crystal for detection of cancer

  • Osswa Soltani,
  • Sebastien Francoeur,
  • Zina Baraket,
  • Mounir Kanzari

摘要

Early detection of cancer reduces mortality and improves patient outcomes. For this purpose, a high-sensitivity optical sensor based on a one-dimensional defective graphene photonic crystal is designed and specifically adapted to the detection of liver cancer cells. The optical structure (HLH)N (D) (HLH)N involves two dielectrics with High and Low refractive index arranged in sequences (HLH) repeated N times and separated by a defect layers composed of human liver tissues (D). Absorption losses in all materials are fully considered. The defect transmission modes appearing in the otherwise forbidden gap allow probing the refractive index of liver tissues with interferometric sensitivity. To improve the quality factor of the defect modes, two graphene layers (G) are added in structure (HLH)N (GDG) (HLH)N. Optimization of N, the thicknesses of graphene layers, human liver tissue, and the incident angle yield a device with an important sensitivity of 862 nm/RIU, a high quality factor of 4224, and an overall transmission of 93%. The proposed optical sensor indeed has the capacity to discriminate between healthy and cancerous cells and guide the experimental realization of devices for the diagnostic of liver cancer in human tissues.