A new photonic crystal fiber (PCF)–based, hollow-core, optical waveguide is proposed and numerically investigated to quickly identify numerous species of cancerous cells in the human body. Typical and cancerous cells have different refractive indices (RIs), and via this characteristic, the other important optical parameters are evaluated. The guiding properties of this proposed cancer cell sensor are analyzed in the COMSOL Multiphysics environment which used the finite element method as mathematical tool to solve differential equations. Furthermore, to ensure the highest simulation accuracy, extremely fine mesh elements are introduced. The simulation studies confirm that the proposed sensor, at 2.5 THz, achieves an extremely high relative sensitivity of almost 98% with negligible loss (< 0.025 dB/cm). Furthermore, a high numerical aperture (NA) and spot size, with low modal area, enhance the propagation characteristics of the sensor to a new height. The sensor’s physical structure is very simple so that it can be easily fabricated with modern fabrication technology. Thus, it seems that this sensor will open a new door in the field of detecting and diagnosing different cancer cells.

提出了一种新的基于光子晶体光纤（PCF）的空心光波导，并进行了数值研究，以快速识别出人体中多种癌细胞。典型的癌细胞和癌细胞具有不同的折射率（RI），并通过此特性评估其他重要的光学参数。在COMSOL Multiphysics环境中分析了这种建议的癌细胞传感器的指导特性，该环境使用有限元方法作为数学工具来求解微分方程。此外，为了确保最高的仿真精度，引入了非常精细的网格元素。仿真研究证实，所提出的传感器在2.5 THz时可实现极高的相对灵敏度，几乎达到98％，且损耗可忽略不计（<0.025 dB / cm）。此外，高数值孔径（NA）和光点尺寸以及低模态面积可将传感器的传播特性提高到新的高度。传感器的物理结构非常简单，因此可以使用现代制造技术轻松制造。因此，该传感器似乎将在检测和诊断不同的癌细胞领域打开新的大门。