Numerical and experimental generated data during project https://doi.org/10.1109/JSEN.2025.3545789

The dataset was generated during a project aimed at developing a novel multiband metamaterial (MTM)-based biosensor specifically designed for the detection of MCF-7 BC cells. The sensor features a compact geometry composed of multiple resonatorsmade from 200-nm-thick aluminum (Al) layers on a 50-μm-thick polyethylene terephthalate (PET) substrate. With dimensions of only 198 × 198 μm2, the proposed device is exceptionally compact. It operates in the 0.5–1.6-THz frequency range and achieves near-perfect absorption rates (>99%) across multiple bandwidths. These results are achieved through precise tuning of the sensor’s geometry and architectural optimization, significantly enhancing its sensitivity for cancer detection. Comprehensive validation of the sensor is performed using full-wave electromagnetic analysis, which includes evaluating electric field (E-field) and magnetic field (H-field) distributions, surface currents, and scattering parameters. Extensive benchmarking demonstrates the device’s superior performance compared to state-ofthe-art biosensors, excelling in metrics such as quality factor (Q-factor), figure of merit (FOM), and absorption efficiency. In addition, the proposed sensor has been integrated into an MWI system to evaluate its practical application. The device successfully discriminated against subtle changes in the refractive index (RI) of biological tissues, confirming its ability to detect MCF-7 cells effectively. These findings highlight the sensor’s suitability as a noninvasive, early stage diagnostic tool for BC.