In this work, a novel approach is presented to design a metamaterial-based sensitive sensor for biomedical applications. The metamaterial-based sensor objective is to differentiate between different types of cancer cell lines (biological cells) based on their electrical properties. The sensor is designed by incorporating a single circular split ring resonator (SRR) and a Hilbert fractal curve. The SRR is designed based on its capacitive and inductive resonance properties, thereby making the SRR a favorable candidate for sensing applications. Moreover, the Hilbert fractal curve is introduced as a defected ground structure to move the resonance frequency of the SSR to lower band, and to increase sensor sensitivity. Different Hilbert curve orders are investigated. The fourth-order Hilbert curve is used in the final design as it showed the optimal performance among other orders. To verify the sensor functionality and selectivity, the proposed sensor is tested on three types of breast cancer cell lines, these are MCF7, MCF-7, and HS578T. Measurement results of the fabricated sensor compared well with simulated results obtained using high-frequency structure simulator (HFSS18).

在这项工作中，提出了一种新颖的方法来设计用于生物医学应用的基于超材料的灵敏传感器。基于超材料的传感器的目标是根据其电特性来区分不同类型的癌细胞系（生物细胞）。该传感器通过结合单个圆形裂环谐振器（SRR）和希尔伯特分形曲线进行设计。SRR基于其电容和电感谐振特性而设计，因此使SRR成为感测应用的理想选择。此外，引入希尔伯特分形曲线作为有缺陷的地面结构，以将SSR的谐振频率移至较低频段，并提高传感器灵敏度。研究了不同的希尔伯特曲线阶数。最终设计中使用了四阶希尔伯特曲线，因为它显示了其他阶数中的最佳性能。为了验证传感器的功能和选择性，在三种类型的乳腺癌细胞系MCF7，MCF-7和HS578T上测试了所提出的传感器。所制造传感器的测量结果与使用高频结构模拟器（HFSS18）获得的模拟结果进行了很好的比较。