Universiti Teknologi Malaysia Institutional Repository

Graphene embedded surface plasmon resonance based sensor prediction model

Meshginqalam, B. and Toloue, H. and Ahmadi, M. T. and Sabatyan, A. and Centeno, A. and Ismail, R. (2016) Graphene embedded surface plasmon resonance based sensor prediction model. Optical and Quantum Electronics, 48 (6). ISSN 0306-8919

Full text not available from this repository.

Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

Abstract

Exceptional optical and electrical characteristics of graphene based materials attract significant interest of the researchers to develop sensing center of surface plasmon resonance (SPR) based sensors by graphene application. In this research carrier density variant in the form of conductance gradient on graphene based SPR sensor response is modeled. The molecular properties such as electro-negativity, molecular mass, effective group number and effective outer shell factor are engaged. In addition each factor effect in the cumulative carrier variation is explored analytically. The refractive index shift equation based on these factors is defined and related coefficients are proposed. Finally a semi-empirical model for interpretation of changes in SPR curve is suggested and tested for some organic molecules.

Item Type:Article
Uncontrolled Keywords:Graphene, Plasmons, Refractive index, Electrical characteristic, Embedded sensors, Molecular properties, Organic molecules, Related coefficients, Semi-empirical modeling, Sensor Prediction, SPR sensors, Surface plasmon resonance
Subjects:T Technology > T Technology (General)
Divisions:Malaysia-Japan International Institute of Technology
ID Code:71612
Deposited By: Widya Wahid
Deposited On:20 Nov 2017 08:28
Last Modified:20 Nov 2017 08:28

Repository Staff Only: item control page