Modeling and optimization of a central diamond shape threefold hexagon metamaterial sensor for glioblastoma cell detection

Abstract

The present study introduces a novel design and analysis of a sensor based on a terahertz metamaterial absorber (MMA) to identify Glioblastoma cell by employing microwave imaging techniques. Terahertz (THz) frequencies offer unique advantages for biomedical applications. Computer Simulation Technology (CST) employs a finite integration (FIT) approach to simulate the suggested structure in the resonant frequency (RF) range of 4.5 THz to 6 THz. The crystal structure displays three distinct absorption peaks at resonance frequencies. The MTA can absorb energy in three specific spectral bands: 4.782 THz, 5.30 THz, and 5.7319 THz. At these frequencies, the MTM achieves exceptionally high absorption, reaching 99.99%, 99.98%, and 99.68% peak absorption, respectively. The electric field (E), magnetic field (H), and surface current of the MTM are also examined. Finally, detecting Glioblastoma cells is also being investigated by analyzing the E-field H-field using microwave imaging. The suggested biosensor features a high-quality factor of 143.63, a frequency shifts per refractive index of 1.45 THz/RIU. In this study, the PCR value is measured at 0.95 at a frequency of 4.782 THz, indicating a high efficiency in polarization conversion. Polarization Conversion Ratio (PCR) quantifies the efficiency of a metamaterial in converting the polarization of an incident electromagnetic wave. Extensive simulation studies confirm the sensors capability to distinguish between healthy and cancerous cervical tissue. The suggested MMA-based sensor has numerous advantages and can be utilized for Glioblastoma cell detection.