Fig 1.
Diagram of the structural design and incident field directions for a perfect absorber.
Fig 2.
Recommended designs for a perfect absorber: (a) Model 1, (b) Model 2, and (c) Model 4 (proposed biosensor design).
Table 1.
A complete list of the variables that have been adjusted for the recommended sensor.
Fig 3.
Comparison of the absorption characteristics for different designs: (a) Model 1, and (b) Model 2.
Fig 4.
Comparison of absorption properties for various designs: (a) Model 3, and (b) Model 4.
Fig 5.
Comparison of absorption properties for various designs: (a) Model 5, and (b) Model 6.
Fig 6.
Absorption spectra for the proposed design under varying conditions: (a) substrate material, and (b) resonator material.
Fig 7.
(a) S11 real and imaginary parts, (b) Reflection and absorption spectra of the absorber.
Fig 8.
Real and imaginary components of Permeability (μ) and Permittivity (ε) for the proposed absorber: (a) Real components of μ and ε, (b) Imaginary components of μ and ε.
Fig 9.
Simulated parameter responses of the proposed model: (a) Impedance (z), (b) Real and imaginary parts of the Refractive Index.
Fig 10.
Visualization of the /E/-field distributions in the metamaterial structure at 0.6408 THz: (a) Real components, (b) Imaginary components.
Fig 11.
Visualization of the /E/-field distributions in the metamaterial structure at 0.8365 THz: (a) Real components, (b) Imaginary components.
Fig 12.
Visualization of the /E/-field distributions in the metamaterial structure at 0.965 THz: (a) Real components, (b) Imaginary components.
Fig 13.
Visualization of the /E/-field distributions in the metamaterial structure at 1.0865 THz: (a) Real components, (b) Imaginary components.
Fig 14.
Visualization of the /E/-field distributions in the metamaterial structure at 1.195 THz: (a) Real components, (b) Imaginary components.
Fig 15.
Visualization of the /H/-field distributions in the metamaterial structure at 0.6408 THz: (a) Real components, (b) Imaginary components.
Fig 16.
Visualization of the /H/-field distributions in the metamaterial structure at 0.8365 THz: (a) Real components, (b) Imaginary components.
Fig 17.
Visualization of the /H/-field distributions in the metamaterial structure at 0.965 THz: (a) Real components, (b) Imaginary components.
Fig 18.
Visualization of the /H/-field distributions in the metamaterial structure at 1.0865 THz: (a) Real components, (b) Imaginary components.
Fig 19.
Visualization of the /H/-field distributions in the metamaterial structure at 1.195 THz: (a) Real components, (b) Imaginary components.
Fig 20.
Visualization of the surface current distributions in the metamaterial structure at 0.6408 THz: (a) Real components, (b) Imaginary components.
Fig 21.
Visualization of the surface current distributions in the metamaterial structure at 0.8365 THz: (a) Real components, (b) Imaginary components.
Fig 22.
Visualization of the surface current distributions in the metamaterial structure at 0.965 THz: (a) Real components, (b) Imaginary components.
Fig 23.
Visualization of the surface current distributions in the metamaterial structure at 1.0865 THz: (a) Real components, (b) Imaginary components.
Fig 24.
Visualization of the surface current distributions in the metamaterial structure at 1.195 THz: (a) Real components, (b) Imaginary components.
Fig 25.
Analysis of the absorption coefficient of the proposed biosensor in both healthy blood and blood affected by cancer.
Fig 26.
Detection of absorption coefficients by the proposed biosensor for normal blood and blood cancer within the frequency range of: (a) 0–1.2 THz, (b) 0.6–0.63 THz.
Fig 27.
Detection of absorption coefficients by the proposed biosensor for normal blood and blood cancer within the frequency range of: (a) 0–1.2 THz, (b) 0.76–0.82 THz.
Fig 28.
Detection of absorption coefficients by the proposed biosensor for normal blood and blood cancer within the frequency range of: (a) 0–1.2 THz, (b) 1.12–1.20 THz.
Fig 29.
Utilization of the MWI approach for diagnosing blood cancer.
Fig 30.
E-field results of the MWI technique: (a) Normal blood, and (b) Blood cancer.
Fig 31.
H-field results of the MWI technique: (a) Normal blood, and (b) Blood cancer.
Table 2.
Bio-sensing performance comparisons of various sensor applications based on metamaterial.
Table 3.
A comparative analysis of terahertz band metamaterial studies and the proposed biosensor design.