A Numerical Approach to Design the Kretschmann Configuration Based Refractive Index Graphene-MoS₂ Hybrid Layers With TiO₂-SiO₂ Nano for Formalin Detection

Abstract

In this paper, a Kretschmann configuration based surface plasmon resonance (SPR) sensor is numerically designed using graphene-MoS₂ hybrid structure TiO₂-SiO₂ nano particles for formalin detection. In this design, the observations of SPR angle versus minimum reflectance and SPR frequency (F _SPR) versus maximum transmittance (T _max) are considered. The chitosan is used as probe legend to perform reaction with the formalin (40% formaldehyde) which acts as target legend. In this paper, both graphene and MoS₂ are used as biomolecular acknowledgment element (BAE) and TiO₂ as well as SiO₂ bilayers is used to improve the sensitivity of the sensor. The numerical results show that the variation of FSPR and SPR angles for inappropriate sensing of formalin is quite insignificant which confirms the absence of formalin. On the other hand, these variations for appropriate sensing are considerably significant that confirm the presence of formalin. At the end of this article, the variation of sensitivity of the proposed biosensor is measured in corresponding to the increment of a refractive index with a refractive index step 0.01 refractive index unit (RIU). In inclusion of TiO₂-SiO₂ bilayers with graphene-MoS₂, a maximum sensitivity of 85.375% is numerically calculated.

Keywords

Surface plasmon resonance formalin detection / grapheme / refractive index / sensitivity

References

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