Cancer Detection Biosensor Design and Risk Analysis

Abstract: Cancer is the root cause for a large number of deaths worldwide. Early detection and effective treatments are the two greatest challenges in the fight against cancer. In this paper, our aim is to report a simple, biosensor for early detection and risk analysis of cancer based on meta-materials containing structure utilizing theoretical model. The proposed label-free sensor has the potential to exhibit high sensitivity and selectivity for detecting different cancer cells, such as leukemia, cervical cancer, and breast cancer. According to the simulation results, if the refractive index of a sub-layer is nearer to the refractive index of the samples, the sensor is more sensitive. Also, due to the nanometre size of SRRs, it is easy to detect nanometre-sized specimens. The biosensor has a very high resolution so that the capability of measurement and detection of cancer cells is enhanced. The proposed design also shows sufficiently separated resonant peaks for different levels of risk of cancer cells.

Keywords: Meta-material Biosensor, Biomarkers, Cancerous Cells, Frequency Selective Surface, Refractive Index, Split-Ring Resonator, Incident Angle, Finite Element Method