Numerical Simulation of InP and MXene-Based SPR Sensor for Different Cancerous Cells Detection.

A novel surface plasmon resonance (SPR) sensor design that uses indium phosphide (InP) and TiCT MXene materials for the early detection of various cancerous cells is presented in this research. The proposed sensor uses these material's special qualities to provide a broad detection range, high sensitivity, and adaptability. Proteins, nucleic acids, and tiny molecules are among the biomolecules that the sensor can efficiently detect by fine-tuning the layer thicknesses and interfaces. The popular transfer matrix method (TMM) was used to find the reflectance of the five-layer sensor design. Also the angular interrogation approach is used in our study. For Breast-II cancer, the highest value of sensitivity is 263.57 degree/RIU. We also investigated the proposed sensor performance in the refractive index (RI) range of 1.33-1.40. For this, the maximum figures for sensitivity, detection accuracy, and figure of merit obtained in this numerical analysis are 258 degree/RIU, 0.207 degree, and 34.62 RIU, respectively. The design is a promising tool for environmental monitoring, diagnostics, and biomedical research applications because it allows for integration with other features.