Sensitivity Enhancement of Two-Dimensional Materials Based on Genetic Optimization in Surface Plasmon Resonance

Abstract

Sensitivity is an important performance index for evaluating surface plasmon resonance (SPR) biosensors. Sensitivity enhancement has always been a hot topic. It is found that the different refractive indices of samples require different combinations of prism and metal film for better sensitivity. Furthermore, the sensitivity can be enhanced by coating two-dimensional (2D) materials with appropriate layers on the metal film. At this time, it is necessary to choose the best film configuration to enhance sensitivity. With the emergence of more and more 2D materials, selecting the best configuration manually is becoming more complicated. Compared with the traditional manual method of selecting materials and layers, this paper proposes an optimization method based on a genetic algorithm to quickly and effectively find the optimal film configuration that enhances sensitivity. By using this method, not only can the optimal number of layers of 2D materials be determined quickly, but also the optimal configuration can be conveniently found when many materials are available. The maximum sensitivity can reach 400°/RIU after optimization. The method provided application value for the relevant researchers seeking to enhance sensitivity.

Sensitivity Analysis of Single- and Bimetallic Surface Plasmon Resonance Biosensors

“…The sensitivity of measurement is one of the most important functional features of SPR biosensors [ 2 , 27 , 28 ]. Sensitivity S expresses the ratio of change of the sensor’s output signal Y value and the change of the measured value X, and is equal to the value of the calibration curve’s slope: In the case of an SPRi biosensor with modulation of intensity i as a function of analyte concentration c, sensitivity S ic can be expressed as: where n is the refractive index of the dielectric medium at the sensing surface, S RI is the sensitivity of output signal Y to change of the refractive index n caused by bonding of the analyte to the sensor’s biorecognition layer, and S nc the sensitivity of refractive index n to change of analyte concentration c.…”

Grain-boundary-rich 2D materials for attomolar-ability biochemical sensors

“…The 1L WS 2 integration induced electric eld enhancement between Au lm and sensing medium signi es that the proposed SPR sensor is sensitive to slight changes in sensing medium, thus strongly suggests the suitability of 1L WS 2 lm for SPR sensor. Generally, SPR signal optimization can be induced via incorporation of many other 2D layered materials onto Au lm, 65,66 which is favorable for detection sensitivity. However, this effect itself is insu cient for high sensor performance, and the fundamentally indispensable key factor is the high analyte adsorption ability of the sensor material.…”

Polypyrrole-Chitosan-CaFe2O4 Layer Sensor for Detection of Anionic and Cationic Dye Using Surface Plasmon Resonance

“…The experiment was repeated separately for each sample about 10 times. SPR signal was analyzed using Fresnel's theory based on the matrix method for a multilayer system [36][37][38].…”