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<p>Cervical cancer poses a significant health threat when not recognized in its initial stages. Prompt identification greatly enhances the likelihood of successful intervention. In the absence of early diagnosis, the condition may advance unnoticed, resulting in critical health deterioration. Emphasizing routine examinations and public education is crucial to minimizing the dangers linked to late-stage cervical malignancy. Rapid and early detection of cervical cancer is achievable through graphene-based biosensors. We have selected this innovative technology for its high sensitivity and speed, enabling timely diagnosis and intervention, which are critical in improving patient outcomes and survival rates. We utilized parametric optimization to fine-tune various parameters, resulting in significantly enhanced sensitivity. This strategic approach allows for improved performance of the biosensor, ensuring more accurate and efficient detection, which is vital for early cancer diagnosis and monitoring. A peak sensitivity of 958&#xa0;nm/RIU has been attained with the proposed graphene sensor configuration with a detection limit of 0.0056. The sensitivity can further be improved by incorporating metamaterials in the resonating layer. This optimized sensor demonstrates strong potential for integration into biomedical systems, offering a reliable solution for detecting cervical cancer with high precision and effectiveness.</p>

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Innovative Graphene-Enhanced Plasmonic Biosensor Utilizing Split-Ring Resonators and Thin-Wire Metamaterials for Rapid and Early Cervical Cancer Diagnosis

  • 期刊论文

  • 发表日期：

    2025年6月25日

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  • V. Kalaipoonguzhali,
  • Raviteja Kocherla,
  • Amit Grover,
  • Fahad Ahmed Al-Zahrani

摘要

Cervical cancer poses a significant health threat when not recognized in its initial stages. Prompt identification greatly enhances the likelihood of successful intervention. In the absence of early diagnosis, the condition may advance unnoticed, resulting in critical health deterioration. Emphasizing routine examinations and public education is crucial to minimizing the dangers linked to late-stage cervical malignancy. Rapid and early detection of cervical cancer is achievable through graphene-based biosensors. We have selected this innovative technology for its high sensitivity and speed, enabling timely diagnosis and intervention, which are critical in improving patient outcomes and survival rates. We utilized parametric optimization to fine-tune various parameters, resulting in significantly enhanced sensitivity. This strategic approach allows for improved performance of the biosensor, ensuring more accurate and efficient detection, which is vital for early cancer diagnosis and monitoring. A peak sensitivity of 958 nm/RIU has been attained with the proposed graphene sensor configuration with a detection limit of 0.0056. The sensitivity can further be improved by incorporating metamaterials in the resonating layer. This optimized sensor demonstrates strong potential for integration into biomedical systems, offering a reliable solution for detecting cervical cancer with high precision and effectiveness.