Issue 40, 2013
From the journal:

Physical Chemistry Chemical Physics

Infrared biosensors based on graphene plasmonics: modeling†

Yuan Zhao,a   Xiang Hu,b   Guanxiong Chen,a   Xuanru Zhang,b   Ziqi Tan,a   Junhua Chen,a   Rodney S. Ruoff,c   Yanwu Zhu*a  and  Yalin Lu*abd  

* Corresponding authors

a Department of Materials Science and Engineering and CAS Key Laboratory of Materials for Energy Conversion, University of Science and Technology of China, 96 Jin Zhai Rd, Hefei 230026, China
E-mail: zhuyanwu@ustc.edu.cn, yllu@ustc.edu.cn

b Advanced Applied Research Center, Hefei National Laboratory for Physical Sciences at the Microscale, University of Science and Technology of China, 96 Jin Zhai Rd, Hefei 230026, China

c Department of Mechanical Engineering and the Materials Science and Engineering Program, The University of Texas at Austin, One University Station C2200, Austin, TX 78712, USA

d Laser Optics Research Center, Physics Department, United States Air Force Academy, CO 80840, USA

Abstract

We propose a biosensor by exploiting localized plasmons in graphene and biomolecule adsorption on it. Numerical simulations demonstrate that the sensitivity of such a device can achieve a high value of up to 1697 nm/RIU (refractive index unit) when the wavelength shift at the plasmon resonance is detected. The transparent substrate supporting graphene can be chosen potentially from a wide range of materials including insulators, semiconductors, polymers, and gels. The plasmon resonance wavelength can be tuned with electrostatic doping and/or structure modulation of graphene. Furthermore, the device works in a wide angle range of incident light since the transverse magnetic (TM) polarization is independent of incident angles.

Graphical abstract: Infrared biosensors based on graphene plasmonics: modeling

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Article information

DOI
https://doi.org/10.1039/C3CP51952J
Article type
Paper
Submitted
08 May 2013
Accepted
05 Aug 2013
First published
14 Aug 2013

Phys. Chem. Chem. Phys., 2013,15, 17118-17125

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Infrared biosensors based on graphene plasmonics: modeling

Y. Zhao, X. Hu, G. Chen, X. Zhang, Z. Tan, J. Chen, R. S. Ruoff, Y. Zhu and Y. Lu, Phys. Chem. Chem. Phys., 2013, 15, 17118 DOI: 10.1039/C3CP51952J

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