Design of Split Ring Resonator Graphene Metasurface Sensor for Efficient Detection of Brain Tumor

Tumors, irregularities, and malignancies of the brain are deemed lethal. If brain cancer detection techniques are executed appropriately, precious lives might be saved. They should have exceptional mobility, precision, response speed, and high sensitivity. By enabling earlier detection and treatment, a brain tumor sensor has the potential to greatly improve the prognosis for patients with brain tumors. Early detection of brain cancers by the sensor enables early treatment and better patient outcomes. This study demonstrates what is regarded to be a step towards reaching these goals. The proposed is a unique biomedical graphene metasurface sensor (GMS) that can reliably detect and differentiate between various brain tissues. For the proposed study, we have included the abnormal brain tissues of several injuries, tumors, and malignant cells. The proposed GMS reports the highest sensitivity of 153.85 GHz/RIU with a figure of merit of 3.98 and a quality factor of 8.54, where the operating frequency is 0.25 to 0.45 THz. The proposed GMS also indicates the linear functionality for resonance frequency and respective specific brain tissue refractive indices. Overall, these performance indicator parameters indicate good performance, and we can therefore state that the developed GMS structure is highly effective and can be applied for the low-cost, timely, and efficient detection of brain tumors.