Journal of Innovative Optical Health Sciences, Volume. 13, Issue 4, 2050017(2020)

Tunable absorption characteristics in multilayered structures with graphene for biosensing

[in Chinese]1... [in Chinese]2 and [in Chinese]1,* |Show fewer author(s)
Author Affiliations
  • 1Department of Biomedical Engineering, Hong Kong Polytechnic University, Hong Kong, P. R. China
  • 2Department of Microelectronic Engineering, School of Physical Science & Technology, Ningbo University, Ningbo 315211, Zhejiang, P. R. China
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    Graphene derivatives, possessing strong Raman scattering and near-infrared absorption intrinsically, have boosted many exciting biosensing applications. The tunability of the absorption characteristics, however, remains largely unexplored to date. Here, we proposed a multilayer configuration constructed by a graphene monolayer sandwiched between a buffer layer and onedimensional photonic crystal (1DPC) to achieve tunable graphene absorption under total internal reflection (TIR). It is interesting that the unique optical properties of the buffer-graphene-1DPC multilayer structure, the electromagnetically induced transparency (EIT)-like and Fanolike absorptions, can be achieved with pre-determined resonance wavelengths, and furtherly be tuned by adjusting either the structure parameters or the incident angle of light. Theoretical analyses demonstrate that such EIT- and Fano-like absorptions are due to the interference of light in the multilayer structure and the complete transmission produced by the evanescent wave resonance in the configuration. The enhanced absorptions and the huge electrical field enhancement effect exhibit potentials for broad applications, such as photoacoustic imaging and Raman imaging.

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    [in Chinese], [in Chinese], [in Chinese]. Tunable absorption characteristics in multilayered structures with graphene for biosensing[J]. Journal of Innovative Optical Health Sciences, 2020, 13(4): 2050017

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    Paper Information

    Received: Mar. 17, 2020

    Accepted: Apr. 14, 2020

    Published Online: Aug. 7, 2020

    The Author Email: (puxiang.lai@polyu.edu.hk)

    DOI:10.1142/s1793545820500170

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