Design of a polarization-insensitive terahertz metamaterial biosensor for glioma tissue identification

There is an urgent need to develop label-free, accurate detection techniques for gliomas due to the high aggressiveness and heterogeneity of glioma tissues. In this study, a polarization-insensitive terahertz metamaterial biosensor based on a quadruple rotationally symmetric superunit is proposed to address the issues of insufficient sensitivity and polarization-dependent interference associated with conventional metamaterials in terahertz spectroscopy. The structural parameters were optimized through theoretical modeling and electromagnetic simulations, leading to the design of C4-symmetric metamaterials with stable responses over a wide incidence angle range. These metamaterials effectively mitigate signal distortion caused by the random orientation of metamaterial placement during experiments. The experiments were conducted using a terahertz frequency-domain spectroscopy system (THz-FDS) to detect isolated glioma tissues. The results demonstrate that the sensor maintains polarization insensitivity across the full 0-360° range, significantly enhancing the contrast in dielectric properties between tumor and normal tissues. Furthermore, its resonance frequency shift exhibits a strong correlation with tissue thickness, increasing up to 26 µm, after which it stabilizes and no longer exhibits significant changes. This study confirms that polarization-insensitive metamaterials can overcome existing imaging limitations, reduce operator-induced human errors, and provide a novel, non-invasive detection solution for intraoperative boundary delineation and pathological diagnosis of gliomas, with strong potential for clinical translation.

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Publication Details

Journal
Biomedical Optics Express
Published
2025-05-09
DOI
https://doi.org/10.1364/boe.560742
Citations
2
Primary Topic
Terahertz technology and applications
Type
article
Field-Weighted Citation Impact
1.46
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article

Design of a polarization-insensitive terahertz metamaterial biosensor for glioma tissue identification

Rui Tao, Minghui Du, Xianhao Wu, Z. Zhang et al.
2 citations
Biomedical Optics Express
Terahertz technology and applications
1.46
article

Design of a polarization-insensitive terahertz metamaterial biosensor for glioma tissue identification

Rui Tao, Minghui Du, Xianhao Wu, Z. Zhang, Yuan Yuan, Tianyao Zhang, Rui Zhang, Yu Zhang, Pei Yang, Xiaoyan Zhao, Shaowen Zheng, Can Cao, Zhiyan Sun, Yifan Yang
article en
2 citations

Abstract

There is an urgent need to develop label-free, accurate detection techniques for gliomas due to the high aggressiveness and heterogeneity of glioma tissues. In this study, a polarization-insensitive terahertz metamaterial biosensor based on a quadruple rotationally symmetric superunit is proposed to address the issues of insufficient sensitivity and polarization-dependent interference associated with conventional metamaterials in terahertz spectroscopy. The structural parameters were optimized through theoretical modeling and electromagnetic simulations, leading to the design of C4-symmetric metamaterials with stable responses over a wide incidence angle range. These metamaterials effectively mitigate signal distortion caused by the random orientation of metamaterial placement during experiments. The experiments were conducted using a terahertz frequency-domain spectroscopy system (THz-FDS) to detect isolated glioma tissues. The results demonstrate that the sensor maintains polarization insensitivity across the full 0-360° range, significantly enhancing the contrast in dielectric properties between tumor and normal tissues. Furthermore, its resonance frequency shift exhibits a strong correlation with tissue thickness, increasing up to 26 µm, after which it stabilizes and no longer exhibits significant changes. This study confirms that polarization-insensitive metamaterials can overcome existing imaging limitations, reduce operator-induced human errors, and provide a novel, non-invasive detection solution for intraoperative boundary delineation and pathological diagnosis of gliomas, with strong potential for clinical translation.

Biomedical Optics ExpressVol. 16(6)
Capital University (US), Capital Medical University (CN), Zhaotong University (CN), Beijing Institute of Neurosurgery (CN), Aerospace Information Research Institute (CN), University of Science and Technology Beijing (CN)
Openalex Percentile: Top 18%
Terahertz technology and applications
1.46
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