Computational Design of Highly-Sensitive Graphene-Based Multilayer SPR Biosensor

In this paper, we present a set of optimal graphene-based multilayer surface plasmon resonance (SPR) biosensors for highly sensitive detection of biomolecules. To optimize the biosensor structure, we employed a multi-objective gray wolf optimizer (MOGWO) to maximize the sensitivity and minimize the structure full width at half maximum (FWHM). The main advantages of the optimized structures are high sensitivity, low FWHM, as well as easy implementation. We developed an algorithm that enables us to achieve nine different optimized structures. The best sensitivity, FWHM and FOM are obtained equal to 264.6 degrees /RIU (for the structure #5), 1.905 degrees and 56.6/RIU (for the structure #8), respectively. The results of this paper pave the way for the development of highly-sensitive SPR biosensors.

Automated summary

This paper presents optimal graphene-based multilayer SPR biosensors for highly sensitive detection of biomolecules. The biosensor structures are optimized using a multi-objective gray wolf optimizer, aiming to maximize sensitivity and minimize FWHM. The optimized structures exhibit high sensitivity, low FWHM, and are easy to implement. The results pave the way for the development of highly-sensitive SPR biosensors.