An ultra-sensitive metasurface biosensor for instant cancer detection based on terahertz spectra

被引:0
作者
Peiliang Wang
Jing Lou
Yun Yu
Lang Sun
Lan Sun
Guangyou Fang
Chao Chang
机构
[1] Chinese Academy of Sciences,Aerospace Information Research Institute
[2] National Innovation Institute of Defense Technology,Innovation Laboratory of Terahertz Biophysics
[3] Chinese Academy of Sciences,The Key Laboratory of Electromagnetic Radiation and Sensing Technology
[4] University of Chinese Academy of Sciences,School of Electronic, Electrical and Communication Engineering
[5] Air Force Engineering University,Air and Missile Defense College
[6] China Academy of Chinese Medical Sciences,Institute of Acupuncture and Moxibustion
[7] Peking University,School of Psychological and Cognitive Sciences, Beijing Key Laboratory of Behavior and Mental Health
[8] Xi’an Jiaotong University,School of Life Science and Technology
关键词
terahertz; metasurface; biosensor; cancer detection;
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中图分类号
学科分类号
摘要
Metasurface biosensors have become the core label-free and rapid-detection technology in bioanalysis. Lung cancer and brain cancer are the first leading causes of cancer death among adults and adolescents, respectively, where poor early diagnosis results from expensive detection costs and time consumption. To tackle the above problems, here, we introduce a terahertz-domain metasurface biosensor for cancer diagnosis, relying on a perfectly symmetrical periodic surface structure, which significantly exhibits polarization-insensitivity at 2.05 THz and the high-sensitivity of 504 GHz/RIU (RIU = refractive index unit). According to the frequency shifts and transmittance variations, four cell types are successfully distinguished from each other. The minimum number of cells is required for thousands of cells to display the differences of spectra, which is 1/30 of clinical methods. Furthermore, the results were consistent with pathological results (the gold standard in clinic) by Gaussian curve fitting. The proposed biosensor has really achieved the characterization of cells in normal and cancerous state. This detection strategy dramatically reduced the cost of detection by reuse and time consumption was reduced to 1/20 of the pathology testing. In addition, it is flexible to set samples and easy to realize automatic operation due to the great polarization-insensitivity of the proposed biosensor, which can further reduce labor costs in the future. It is envisioned that the proposed biosensor will present immense potential in the fields of cancer detection, distinguishing different cancers, and identifying primary lesion cancer or metastatic cancer.
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页码:7304 / 7311
页数:7
相关论文
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