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利用太赫兹超表面生物传感器连续谱中的准束缚态识别结直肠癌恶性肿瘤的表型

Identifying phenotypes of colorectal malignant tumors using the quasi-bound state in the continuum of a terahertz metasurface biosensor.

作者信息

Xu Hongji, Wang Hongye, Yang Xiang, Grønlien Iver, Torvund Arthur Georg Serville, Xomalis Angelos, Zhao Zhenyu

机构信息

Department of Physics, Shanghai Normal University, Shanghai 200234, China.

Department of Laboratory Medicine, Southwest Hospital of Army Medical University, Chongqing 400038, China.

出版信息

Biomed Opt Express. 2025 Mar 18;16(4):1471-1482. doi: 10.1364/BOE.557218. eCollection 2025 Apr 1.

Abstract

A rapid and non-invasive method to identify phenotypes of colorectal malignant tumors is of vital importance for oncological surgery and further development of corresponding anti-tumor drugs. Herein, we demonstrate an approach to detect colorectal adenocarcinoma and colorectal cancer using the quasi-bound state in the continuum (q-BIC) resonance of a metasurface-based terahertz biosensor. We found that the colorectal adenocarcinoma leads to a 40 GHz q-BIC resonance shift compared to healthy colorectal cells. In addition, we found that colorectal cancer results in a q-BIC resonance red-shift of about 60 to 80 GHz. Both colorectal adenocarcinoma and cancer increase the linewidth of q-BIC resonance compared to healthy colorectal cells. The electric permittivity change confirms the aforementioned frequency shift, which is attributed to the water content of different colorectal malignant tumor cells. Our results highlight that the q-BIC resonance of a terahertz photonic biosensor offers a rapid and non-invasive methodology for identifying different colorectal malignant tumors, which accelerates oncological diagnosis.

摘要

一种快速、非侵入性的鉴定结直肠恶性肿瘤表型的方法对于肿瘤外科手术及相应抗肿瘤药物的进一步研发至关重要。在此,我们展示了一种利用基于超表面的太赫兹生物传感器的连续态准束缚态(q-BIC)共振来检测结直肠腺癌和结直肠癌的方法。我们发现,与健康的结直肠细胞相比,结直肠腺癌会导致40 GHz的q-BIC共振频移。此外,我们发现结直肠癌会导致约60至80 GHz的q-BIC共振红移。与健康的结直肠细胞相比,结直肠腺癌和癌都会增加q-BIC共振的线宽。介电常数变化证实了上述频移,这归因于不同结直肠恶性肿瘤细胞的含水量。我们的结果表明,太赫兹光子生物传感器的q-BIC共振为鉴定不同的结直肠恶性肿瘤提供了一种快速、非侵入性的方法,从而加速了肿瘤诊断。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e10/12047722/e63be662e84d/boe-16-4-1471-g001.jpg

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