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Graphene/Graphene Oxide-Based Ultrasensitive Surface Plasmon Resonance Biosensor

Research paper by Bahar Meshginqalam, Mohammad Taghi Ahmadi; Razali Ismail; Arash Sabatyan

Indexed on: 28 Dec '16Published on: 09 Dec '16Published in: Plasmonics



Abstract

Abstract Surface plasmon resonance (SPR)-based biosensing is an accurate and sensitive technique used to evaluate the biomolecular interactions in real time in a label-free environment. Several new approaches have been proposed to improve the sensitivity of SPR sensors. The development of sensing surfaces can significantly improve the performance of biosensors; graphene and graphene oxide (GO) offer several advantages due to their extraordinary optical and structural properties. In this paper, the SPR biosensor structure based on graphene and GO linking layers are suggested. For proposed configurations, the features and characteristics such as reflectivity and sensitivity using the finite element analysis (FEA) model are discussed and compared with results from N-layer model. The effect of cap layer thickness in the sensitivity of the SPR biosensor has been calculated. Computational results show that the proposed graphene and GO-based SPR biosensor have more than two and four times greater sensitivity than the conventional gold film-based SPR sensor respectively due to their better adsorption of biomolecules.AbstractSurface plasmon resonance (SPR)-based biosensing is an accurate and sensitive technique used to evaluate the biomolecular interactions in real time in a label-free environment. Several new approaches have been proposed to improve the sensitivity of SPR sensors. The development of sensing surfaces can significantly improve the performance of biosensors; graphene and graphene oxide (GO) offer several advantages due to their extraordinary optical and structural properties. In this paper, the SPR biosensor structure based on graphene and GO linking layers are suggested. For proposed configurations, the features and characteristics such as reflectivity and sensitivity using the finite element analysis (FEA) model are discussed and compared with results from N-layer model. The effect of cap layer thickness in the sensitivity of the SPR biosensor has been calculated. Computational results show that the proposed graphene and GO-based SPR biosensor have more than two and four times greater sensitivity than the conventional gold film-based SPR sensor respectively due to their better adsorption of biomolecules.