Mr. Meng Tong Profile

Meng Tong

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Proceedings Article | 26 November 2023 Paper

Design and application of skin disease biosensor based on terahertz metasurface

Zhou Yang, Fan Zhang, Yuke Han, Hao Bi, Rui You, Meng Tong

Proceedings Volume 12776, 127760F (2023) https://doi.org/10.1117/12.2687256

KEYWORDS: Skin, Tissues, Diseases and disorders, Design and modelling, Biosensors, Sensors, Millimeter wave sensors, Terahertz spectroscopy, Terahertz radiation, Statistical analysis

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Skin disease is one of the most common diseases affecting human health, and it is vital to detect and diagnose it rapidly and accurately through skin tissue. Terahertz metasurface sensors (THz MSs) offer the advantages of label-free and sensitive detection by virtue of the capacity to perceptively sense changes in the refractive index of substances and the dielectric environment on their surfaces. In this paper, an array of quadrupole metal split-ring resonators (SRRs) was proposed. For the purpose of achieving a high Q-factor and sensitivity at the same time, parameters including cell size and opening gap are tuned. On account of the centrosymmetric cell structure of the sensor, angle sensitivity-related experimental errors could be essentially eliminated. Resonant cavities and connecting arms excite LC resonance on metasurfaces upon interaction with THz waves, resulting in two resonant dips in the transmission spectrum. Using photolithographic processing techniques, periodic metallic patterns were formed on a thin quartz substrate to create the metasurface. In the experiments, skin disease tissue samples were taken from patients, and the transmission spectra of the metasurface sensor covered with skin tissue were obtained by a terahertz frequency domain spectroscopy system. The result shows that resonant frequencies of the sensors covered by skin tissues of disease are shifted towards the lower frequency region compared with normal tissues. This dual resonance frequency sensor made it possible to visually distinguish between diseased and normal tissues by analyzing the resonance frequency shift with superior sensing performance and accuracy without the necessity of analyzing the complex terahertz intrinsic spectrum and refractive index of the samples.

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