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

Abstract

A novel surface plasmon resonance (SPR) sensor design that uses indium phosphide (InP) and Ti₃C₂T_x 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^-1, and 34.62 RIU^-1, respectively. The design is a promising tool for environmental monitoring, diagnostics, and biomedical research applications because it allows for integration with other features.