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

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Abstract

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.

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The data supporting the findings in this work are available from the corresponding author with a reasonable request.

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Acknowledgements

Researchers Supporting Project number (RSPD2023R654), King Saud University, Riyadh, Saudi Arabia.

Funding

Researchers Supporting Project number (RSPD2023R654), King Saud University, Riyadh, Saudi Arabia.

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Authors and Affiliations

  1. Department of Electrical Engineering, College of Engineering, King Saud University, P.O. Box 800, 11421, Riyadh, Saudi Arabia

    Osamah Alsalman

  2. Department of Physics, Marwadi University, Rajkot, 360003, Gujarat, India

    Jacob Wekalao & Dhruvik Agravat

  3. Department of Electrical and Electronics Engineering, Faculty of Engineering, Karpagam Academy of Higher Education (Deemed to be University), Coimbatore, 641021, Tamil Nadu, India

    U. Arun Kumar

  4. Department of Mechanical and Materials Engineering, University of Nebraska-Lincoln, 1400 R St., Lincoln, NE, 68588, USA

    Juveriya Parmar

  5. Department of Computer Engineering, Marwadi University, Rajkot, 360003, Gujarat, India

    Juveriya Parmar & Shobhit K. Patel

Authors
  1. Osamah Alsalman
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  2. Jacob Wekalao
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  6. Shobhit K. Patel
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Contributions

Conceptualization: Osamah Alsalman, Shobhit K. Patel; methodology: Osamah Alsalman, Shobhit K. Patel, and Jacobe Wekaleo; software: Jacob Wekalao, and Shobhit K. Patel; validation, Dhruvik Agravat, U. Arun Kumar, and Juveriya Parmar; writing—original draft preparation: all authors; writing—review and editing: all authors; all authors have read and agreed to the published version of the manuscript.

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Correspondence to Shobhit K. Patel.

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Alsalman, O., Wekalao, J., Arun Kumar, U. et al. Design of Split Ring Resonator Graphene Metasurface Sensor for Efficient Detection of Brain Tumor. Plasmonics 19, 523–532 (2024). https://doi.org/10.1007/s11468-023-02002-9

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