Optical determination of thick graphene layer number based on surface plasmon resonance

Sherif H. ElGohary; Nak-Hyeon Kim; Kyung Min Byun

doi:10.1117/1.JNP.7.073799

30 August 2013 Optical determination of thick graphene layer number based on surface plasmon resonance

Sherif H. ElGohary, Nak-Hyeon Kim, Kyung Min Byun

Author Affiliations +

Funded by: National Research Foundation of Korea (NRF)

Journal of Nanophotonics, Vol. 7, Issue 1, 073799 (August 2013). https://doi.org/10.1117/1.JNP.7.073799

Abstract

An optical method of measuring the number of layers in a graphene sample is formulated and compared with the conventional surface plasmon resonance (SPR) detection scheme, the latter being appropriate only for a very few graphene layers. Numerical results based on transfer-matrix method support that an alternative method, wherein the SPR substrate includes a dielectric overlayer, is feasible over a wide range of graphene layer numbers. While the multilayer graphene may lead to a broad and shallow SPR curve owing to the nonzero imaginary part in its relative permittivity, the dielectric overlayer makes the resonant surface plasmons less affected by graphene, resulting in a strong and deep absorption band at resonance. Linear regression analysis shows that the measurable graphene layer number can be as high as 50.

Citation Download Citation

Sherif H. ElGohary, Nak-Hyeon Kim, and Kyung Min Byun "Optical determination of thick graphene layer number based on surface plasmon resonance," Journal of Nanophotonics 7(1), 073799 (30 August 2013). https://doi.org/10.1117/1.JNP.7.073799

Published: 30 August 2013

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE