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A Terahertz Metamaterial Sensor Based on Dual Resonant Mode and Enhancement of Sensing Performance

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Abstract

A tunable terahertz metamaterial sensor based on aluminum and silicon has been proposed in this paper. Two identical aluminum crosses are placed on either side of the silicon layer. Two substructures are formed by changing certain structural parameters, and two different resonant modes are enhanced directionally in these substructures, respectively. The refractive index sensing range for both resonant modes is 1.0–1.8. The sensitivity and figure of merit (FOM) of the electric dipole resonant mode which is centered at 2.333 THz are 117.67 and 1.07 GHz/RIU. As for the Fano mode which is centered at 3.381 THz, the calculated values are 81 and 2.53 GHz/RIU. Both resonant modes can achieve over 98% opacity. More significantly, an enhancement method of sensing capacity is realized based on perturbation theory. By placing polytetrafluoroethylene (PTFE) plates on the ends of the upper surface aluminum cross, the sensitivity of both resonant modes is improved. The optimized structure provides a sensitivity of 132.75 and 105.17 GHz/RIU for the two resonant modes, respectively. In addition, the effects of PTFE layer thickness on sensing performance are also discussed. This work opens up new prospects in the design of terahertz metamaterial sensors and provides a new method of enhancing sensing capacity.

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Data Availability

All data included in this paper are available upon reasonable request by contact with the corresponding author.

References

  1. Barh A, Pal BP, Agrawal GP, Varshney RK, Rahman BMA (2016) Specialty fibers for terahertz generation and transmission: a review. IEEE J Sel Top Quant 22(2):365–379

    Article  Google Scholar 

  2. Al-Naib IAI, Jansen C, Koch M (2008) Thin-film sensing with planar asymmetric metamaterial resonators. Appl Phys Lett 93(8):2438–3290

    Article  Google Scholar 

  3. Bernier M, Garet F, Kato E, Blampey B, Coutaz J (2018) Comparative study of material parameter extraction using terahertz time-domain spectroscopy in transmission and in reflection. Journal of Infrared, Millimeter, and Terahertz Waves 39(4):349–366

    Article  CAS  Google Scholar 

  4. Tao YH, Fitzgerald AJ, Wallace VP (2020) Non-contact, non-destructive testing in various industrial sectors with terahertz technology. Sensors-basel 20(3):712

  5. Chen K, Ruan C, Zhan F, Song X, Fahad AK, Zhang T, Shi W (2023) Ultra-sensitive terahertz metamaterials biosensor based on luxuriant gaps structure. iScience 26(1):105781

  6. Xu W, Xu W, Xie L, Xie L, Ying Y, Ying Y (2017) Mechanisms and applications of terahertz metamaterial sensing: a review. NANOSCALE -CAMBRIDGE- 9(34):13864–13878

    Article  CAS  Google Scholar 

  7. Amin M, Siddiqui O, Abutarboush H, Farhat M, Ramzan R (2021) A THz graphene metasurface for polarization selective virus sensing. Carbon 176:580–591

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Islam M, Chowdhury DR, Ahmad A, Kumar G (2017) Terahertz plasmonic waveguide based thin film sensor. J Lightwave Technol. PP(23):1–1

  9. Islam MS, Sultana J, Biabanifard M, Vafapour Z, Nine MJ, Dinovitser A, Cordeiro CMB, Ng BWH, Abbott D (2020) Tunable localized surface plasmon graphene metasurface for multiband superabsorption and terahertz sensing. Carbon 158:559–567

    Article  CAS  Google Scholar 

  10. Veeraselvam A, Mohammed GNA, Savarimuthu K, Anguera J, Paul JC, Krishnan RK (2021) Refractive index-based terahertz sensor using graphene for material characterization. Sensors-Basel 21(23):8151

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Deng X, Shen Y, Liu B, Song Z, He X, Zhang Q, Ling D, Liu D, Wei D (2022) Terahertz metamaterial sensor for sensitive detection of citrate salt solutions. Biosensors 12(6):408

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Zhan Y, Yin H, Wang J, Yao H, Fan C (2022) Tunable multiple band THz perfect absorber with InSb metamaterial for enhanced sensing application. Results in Optics 8:100255

    Article  Google Scholar 

  13. Khodadadi B, Babaeinik M, Ghods V, Rezaei P (2023) Triple-band metamaterial perfect absorber for refractive index sensing in THz frequency. Opt Quant Electron 55(5)

  14. Anwar S (2023) Dual-band detection based on metamaterial sensor at terahertz frequency. Opt Rev 30(3):300–309

    Article  CAS  Google Scholar 

  15. Chen T, Liang D, Jiang W (2022) A tunable terahertz graphene metamaterial sensor based on dual polarized plasmon-induced transparency. IEEE Sens J 22(14):14084–14090

    Article  CAS  Google Scholar 

  16. Zhu J, Xiong J (2023) Tunable terahertz graphene metamaterial optical switches and sensors based on plasma-induced transparency. Measurement 220:113302

    Article  Google Scholar 

  17. Liang D, Chen T (2023) Optical modulated graphene metamaterial based on plasmon-induced transparency in the terahertz band: application for sensing. Diam Relat Mater 131:109613

    Article  CAS  Google Scholar 

  18. Zhang J, Mu N, Liu L, Xie J, Feng H, Yao J, Chen T, Zhu W (2021) Highly sensitive detection of malignant glioma cells using metamaterial-inspired THz biosensor based on electromagnetically induced transparency. Biosens Bioelectron 185:113241

    Article  CAS  PubMed  Google Scholar 

  19. Cheng Y, Zhang K, Liu Y, Li S, Kong W (2020) Actively mode tunable electromagnetically induced transparency in a polarization-dependent terahertz metamaterial. AIP Adv 10(4)

  20. Cui W, Wang Y, Xue J, He Z, He H (2021) Terahertz sensing based on tunable Fano resonance in graphene metamaterial. Results Phys 31:104994

    Article  Google Scholar 

  21. Yan X, Zhang Z, Liang L, Yang M, Wei D, Song X, Zhang H, Lu Y, Liu L, Zhang M, Wang T, Yao J (2020) A multiple mode integrated biosensor based on higher order Fano metamaterials. Nanoscale 12(3):1719–1727

    Article  CAS  PubMed  Google Scholar 

  22. He Z, Xue W, Cui W, Li C, Li Z, Pu L, Feng J, Xiao X, Wang X, Li AG (2020) Tunable Fano resonance and enhanced sensing in a simple Au/TiO2 hybrid metasurface. Nanomater 10(4):687

    Article  CAS  Google Scholar 

  23. Smith DR, Vier DC, Koschny T, Soukoulis CM (2005) Electromagnetic parameter retrieval from inhomogeneous metamaterials. Phys Rev E Stat Nonlin Soft Matter Phys 71(3 Pt 2B):036617

  24. Karmakar S, Kumar D, Varshney RK, Chowdhury DR (2020) Strong terahertz matter interaction induced ultrasensitive sensing in Fano cavity based stacked metamaterials. J Phys D Appl Phys 53(41):415101–415109

    Article  CAS  Google Scholar 

  25. Park DJ, Park SJ, Park I, Ahn YH (2014) Dielectric substrate effect on the metamaterial resonances in terahertz frequency range. Curr Appl Phys 14(4):570–574

    Article  Google Scholar 

  26. Limonov MF, Rybin MV, Poddubny AN, Kivshar YS (2017) Fano resonances in photonics. Nat Photonics 11(9):543–554

    Article  CAS  Google Scholar 

  27. Cheng R, Xu L, Yu X, Zou L, Shen Y, Deng X (2020) High-sensitivity biosensor for identification of protein based on terahertz Fano resonance metasurfaces. Opt Commun 473:125850

    Article  CAS  Google Scholar 

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Funding

National Natural Science Foundation of China (61905091, 62005095).

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Authors and Affiliations

  1. School of Information Science and Engineering, University of Jinan, Jinan, 250022, China

    Shijing Guo, Chao Li, Dong Wang, Wenya Chen, Song Gao, Guozheng Wu & Jiaran Xiong

  2. Shandong Provincial Key Laboratory of Network-Based Intelligent Computing, Jinan, 250022, China

    Shijing Guo, Chao Li, Dong Wang, Wenya Chen, Song Gao, Guozheng Wu & Jiaran Xiong

Authors
  1. Shijing Guo
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  2. Chao Li
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  3. Dong Wang
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  4. Wenya Chen
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  5. Song Gao
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  6. Guozheng Wu
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  7. Jiaran Xiong
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Contributions

Conceptualization, Methodology, Formal analysis, Writing, Shijing Guo.; Writing-Review and Editing, Supervision, Funding acquisition, Chao Li.; Writing-Review and Editing, Dong Wang; Supervision, Wenya Chen, Guozheng Wu and Jiaran Xiong; Funding acquisition, Song Gao. All authors have read and agreed to the published version of the manuscript.

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Correspondence to Chao Li.

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Guo, S., Li, C., Wang, D. et al. A Terahertz Metamaterial Sensor Based on Dual Resonant Mode and Enhancement of Sensing Performance. Plasmonics (2023). https://doi.org/10.1007/s11468-023-02163-7

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