Scholarlink

<p>In this study,a biosensor for early pregnancy detection was developed, integrating a ternary nanomaterial composite of graphene, MXene, and black phosphorus. The device architecture comprises a dual circular ring resonator configuration with copper and MXene functionalization, deposited on a graphene-modified square substrate with silicon dioxide base. Computational simulations via COMSOL Multiphysics demonstrated exceptional sensing metrics, including sensitivity of 2000 GHzRIU⁻<sup>1</sup>, figure of merit of 18.868 RIU⁻<sup>1</sup>, and detection limit of 0.095 at the optimal resonant frequency of 0.813 THz. Performance optimization was conducted through parametric analysis of graphene's chemical potential and electromagnetic wave incident angles. Additionally, implementation of polynomial regression algorithms yielded predictive modelling with accuracy rates approaching 100%, significantly reducing computational complexity and resource utilization. The biosensor demonstrates robust analytical performance in detecting pregnancy-associated refractive index variations, establishing a promising platform for rapid, non-invasive gestational diagnostics.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

A High-Sensitivity Terahertz Metasurface Biosensor with Graphene-MXene-Black Phosphorus Integration for Early Pregnancy Detection

  • 期刊论文

  • 发表日期：

    2025年4月26日

查看全文
  • Jacob Wekalao,
  • Ahmed Mehaney,
  • Mahmood Basil A. AL-Rawi,
  • Ahmed Zohier Ahmed Elhendi,
  • Mostafa R. Abukhadra,
  • Amuthakkannan Rajakannu,
  • Hussein A. Elsayed

摘要

In this study,a biosensor for early pregnancy detection was developed, integrating a ternary nanomaterial composite of graphene, MXene, and black phosphorus. The device architecture comprises a dual circular ring resonator configuration with copper and MXene functionalization, deposited on a graphene-modified square substrate with silicon dioxide base. Computational simulations via COMSOL Multiphysics demonstrated exceptional sensing metrics, including sensitivity of 2000 GHzRIU⁻1, figure of merit of 18.868 RIU⁻1, and detection limit of 0.095 at the optimal resonant frequency of 0.813 THz. Performance optimization was conducted through parametric analysis of graphene's chemical potential and electromagnetic wave incident angles. Additionally, implementation of polynomial regression algorithms yielded predictive modelling with accuracy rates approaching 100%, significantly reducing computational complexity and resource utilization. The biosensor demonstrates robust analytical performance in detecting pregnancy-associated refractive index variations, establishing a promising platform for rapid, non-invasive gestational diagnostics.