Modeling of 2D Photonic Crystal Based Sensor for the Detection of Tuberculosis Disease

The proposed work is done to analyze and model the Photonic crystal (PhC) based optical ring resonator for detecting Tuberculosis (TB) infection. Tuberculosis is a bacterial infection and one of the most severe diseases all over the world. It affects the lungs of the patient and necessary to be detect as early as possible. Optical sensors show extreme results as sensing devices. So, they are broadly accepted in the medical field for the diagnosis of diseases rapidly and effectively. Optical biosensors are designed to detect cancer, malaria, typhoid, Tuberculosis, etc. The principle behind the working of optical biosensors is a shift in the peak resonance wavelength corresponding to the small changes in the refractive index values. Optical biosensors can give results in short amount of time with high sensitivity. The proposed sensor has achieved high sensitivity of 880nm/RIU for TB3 patient. The quality factor is also calculated, and its value come out to be 622.156 for highly infectious patient TB4. The platform used for simulating the device is the Finite difference time domain (FDTD).