TY - JOUR
T1 - Surface Plasmon Resonance Biosensor Performance Analysis on 2D Material Based on Graphene and Transition Metal Dichalcogenides
AU - Nurrohman, Devi Taufiq
AU - Chiu, Nan Fu
N1 - Publisher Copyright:
© 2020 The Author(s). Published on behalf of The Electrochemical Society by IOP Publishing Limited.
PY - 2020/1/12
Y1 - 2020/1/12
N2 - Since graphene was first isolated in 2004, research related to graphene-based 2D material for surface plasmon resonance (SPR) biosensor applications has increased. Recently, other types of 2D materials such as Transition Metal Dichalcogenides have also been investigated. This 2D material has exceptional optical and electronic properties and can be utilized to improve the performance of biosensors. The performance of SPR biosensors can be determined based on their sensitivity and detection accuracy (DA). To find out the sensitivity and DA, simulation approach can be done. In this paper, we perform SPR simulations on monolayer and multilayer structures of 2D material, namely graphene, graphene oxide, molibdenum disulfida, and tungsten diselenide. In addition, we also investigated the sensitivity and DA of SPR biosensors on hybrid structures. The results obtained indicate that the use of 2D material can increase the sensitivity of the SPR up to 5 times when compared to conventional structures. Of the four types of 2D material investigated, GO is the material with the best accuracy. If the SPR biosensor performance is determined based on the FOM value, the best performance is owned by the GO-based SPR structure with a sensitivity of 151.87 deg/RIU and DA 0.22 deg-1.
AB - Since graphene was first isolated in 2004, research related to graphene-based 2D material for surface plasmon resonance (SPR) biosensor applications has increased. Recently, other types of 2D materials such as Transition Metal Dichalcogenides have also been investigated. This 2D material has exceptional optical and electronic properties and can be utilized to improve the performance of biosensors. The performance of SPR biosensors can be determined based on their sensitivity and detection accuracy (DA). To find out the sensitivity and DA, simulation approach can be done. In this paper, we perform SPR simulations on monolayer and multilayer structures of 2D material, namely graphene, graphene oxide, molibdenum disulfida, and tungsten diselenide. In addition, we also investigated the sensitivity and DA of SPR biosensors on hybrid structures. The results obtained indicate that the use of 2D material can increase the sensitivity of the SPR up to 5 times when compared to conventional structures. Of the four types of 2D material investigated, GO is the material with the best accuracy. If the SPR biosensor performance is determined based on the FOM value, the best performance is owned by the GO-based SPR structure with a sensitivity of 151.87 deg/RIU and DA 0.22 deg-1.
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U2 - 10.1149/2162-8777/abb419
DO - 10.1149/2162-8777/abb419
M3 - Article
AN - SCOPUS:85091879713
SN - 2162-8769
VL - 9
JO - ECS Journal of Solid State Science and Technology
JF - ECS Journal of Solid State Science and Technology
IS - 11
M1 - 115023
ER -