We propose and analyze a novel type of graphene-based device by using an improved anisotropic wave concept iterative process (WCIP) algorithm, this device can operate as a tunable electronic and magnetic sensor for Basal Cell Carcinoma (BCC) detection at the terahertz band. The proposed sensor consists of a planar filter, and a sample holder is located in the middle of it, to hold the normal skin and BCC samples. Through the proposed modeling approach of the biological samples, we can integrate the healthy and BCC tissues into this algorithm by redefining their boundary condition in terms of waves, this procedure was done without involving any volumetric discretization. At the beginning, we validate the effectiveness of the proposed anisotropic WCIP algorithm, an excellent agreement has been obtained, which demonstrate a high precision of the proposed algorithm. Finally, the numerical simulations demonstrate that the sensor has the ability to discover the healthy tissue with a high sensitivity of 6.9 THz/RIU and Basal Cell Carcinoma with 11.2 THz/RIU.

中文翻译：

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用于基底细胞癌检测的石墨烯传感器


我们通过使用改进的各向异性波概念迭代过程（WCIP）算法提出并分析了一种新型的基于石墨烯的设备，该设备可以作为可调谐电子和磁传感器，用于太赫兹频段的基底细胞癌（BCC）检测。所提出的传感器由平面过滤器组成，样品架位于其中间，用于容纳正常皮肤和 BCC 样品。通过所提出的生物样本建模方法，我们可以通过以波的形式重新定义健康组织和基底细胞癌组织的边界条件，将其整合到该算法中，该过程不涉及任何体积离散化。首先，我们验证了所提出的各向异性WCIP算法的有效性，得到了很好的一致性，这证明了所提出算法的高精度。最后，数值模拟表明该传感器能够以6.9 THz/RIU的高灵敏度发现健康组织，并以11.2 THz/RIU的高灵敏度发现基底细胞癌。