A Novel Approach for Identification of Cancer Cells Using a Photonic Crystal Fiber-Based Sensor in the Terahertz Regime

In the present study, a rectangular-shaped photonic crystal fiber-based sensor has been proposed for the identification of various types of cancer cells. Finite element method-based COMSOL multiphysics software has been used to evaluate the performance of the sensor. The variation in the refractive index has been used for the identification of cancer cells. The simulation of the accessed model has been achieved for various cancer cells such as MCF-7, Jurkat, PC-12, HeLa, MDA-MB-231, and basal detectors. The values of birefringence, effective refractive index, relative sensitivity, nonlinearity, and effective area are obtained for MCF-7, Jurkat, PC-12, HeLa, MDA-MB-231, and basal cells for the optimum + 5% case, optimum case, and optimum-5% case in x and y directions, respectively. The proposed photonic crystal fiber-based sensor has been utilized for the identification of breast cancer type II, blood cancer, adrenal gland cancer, cervical cancer, breast cancer type I, and skin cancer.