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Chin. Opt. Lett.
 Home  List of Issues    Issue 11 , Vol. 15 , 2017    10.3788/COL201715.111703


Metamaterials-based terahertz sensor for quick diagnosis of early lung cancer
Xin Xu1;4, Yan Wu2, Tangyan He2, Yuanyuan Li1;4, Fangrong Hu1;4, Huasheng Liang2, Chunxia Yang3, and Hong Zhong3
1 College of Electronic Engineering and Automation, [Guilin University of Electronic Technology], Guilin 541 004, China
2 Beihai Endocrinology Institute, [the Ninth Affiliated Hospital of Guangxi Medical University], Beihai 536000, China
3 Department of Thoracic Surgery, [the Ninth Affiliated Hospital of Guangxi Medical University], Beihai 53 6000, China
4 [Guangxi Experiment Center of Information Science], Guilin 54 1004 , China

Chin. Opt. Lett., 2017, 15(11): pp.111703

DOI:10.3788/COL201715.111703
Topic:Medical optics and biotechnology
Keywords(OCIS Code): 170.6510  300.6495  

Abstract
We experimentally demonstrate a metamaterials (MMs)-based terahertz (THz) sensor to quickly distinguish the cancer tissues from normal tissues. The MMs-based THz sensor has two strong resonance absorption peaks at about 0.706 and 1.14 THz, respectively. When the sensor is covered with cancer tissues, the redshifts at about 0.706 and 1.14 THz are 31 and 19 GHz, respectively. However, if normal tissue is attached to the surface of the sensor, the corresponding redshifts are only 15 and 12 GHz, respectively. This study proposes a new method for quick diagnosis of early lung cancer and other cancers.

Copyright: © 2003-2012 . This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Received:2017/7/10
Accepted:2017/9/4
Posted online:2017/9/20

Get Citation: Xin Xu, Yan Wu, Tangyan He, Yuanyuan Li, Fangrong Hu, Huasheng Liang, Chunxia Yang, and Hong Zhong, "Metamaterials-based terahertz sensor for quick diagnosis of early lung cancer," Chin. Opt. Lett. 15(11), 111703(2017)

Note: This work was supported by the National Natural Science Foundation of China (No. 11574059), the Natural Science Foundation of Guangxi (Nos. 2015GXNSFDA19039 and 2014GXNSFAA118376), and the Foundation from Guangxi Key Laboratory of Automatic Detection Technology and Instrument (No. YQ14114).



References

1. A. Rahman, A. K. Rahman, and B. Rao, Biosens. Bioelectron. 82, 64 (2016).

2. T. C. Bowman, M. El-Shenawee, and L. K. Campbell, IEEE Trans. Antennas Propag. 63, 2088 (2015).

3. S. J. Oh, S. H. Kim, and Y. B. Ji, Biomed. Opt. Express 5, 2837 (2014).

4. S. Yamaguchi, Y. Fukushi, and O. Kubota, Phys. Med. Biol. 61, 3638 (2016).

5. D. Hou, X. Li, and J. Cai, Phys. Med. Biol. 59, 5423 (2014).

6. O. P. Cherkasova, and M. M. Nazarov, Bull. Russ. Acad. Sci. Phys. 80, 479 (2016).

7. J. Hu, G. S. Qian, and C. X. Bai, Cancer 121, 3157 (2015).

8. Z. Li, C. Luo, and F. Ling, Chin. Opt. Lett. 14, 102303 (2016).

9. Z. Yang, F. Gao, and Y. Hou, Chin. Opt. Lett. 14, 061602 (2016).

10. H. Tao, A. C. Strikwerda, and M. Liu, Appl. Phys. Lett. 97, 261909 (2010).

11. Q. Wu, F. Lan, Y. Zhang, and X. Gao, Chin. Opt. Lett. 13, 101601 (2015).

12. X. Wu, B. Quan, and X. Pan, Biosens. Bioelectron. 42, 626 (2013).

13. L. Chen, N. Xu, L. Singh, T. Cui, R. Singh, Y. Zhu, and W. Zhang, Adv. Opt. Mater. 5, 1600960 (2017).

14. L. Chen, Y. M. Wei, X. F. Zang, Y. M. Zhu, and S. L. Zhuang, Sci. Rep. 6, 22027 (2016).

15. www.cst.com/Content/Products/MWS/Overview.aspx

16. E. F. Patz, P. C. Goodman, and G. Beple, N. Engl. J. Med. 343, 1627 (2000).


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