Modeling of surface plasmon resonance (SPR) gas sensor using phase change material and black phosphorus for non-invasive diagnosis of lung and liver diseases

The present research focuses on designing and modeling a novel bimetallic surface plasmon resonance (SPR) sensor for non-invasive detection of lung and liver diseases by analyzing the volatile organic compounds (VOCs) in the exhaled breath. The proposed SPR sensor is designed with NaF prism/Ag/Au/ Ge 2 Sb 2 Te 5 /BP/Sensing medium layer-by-layer arrangements. The finite element method (FEM) integrated COMSOL Multiphysics software tool is used to model the sensor and analyze the angular reflectivity . The thickness of different layers and the number of layers are carefully optimized to achieve high performance. The cornerstone of this research is to study the shift in the resonance angle by infiltrating different concentrations of VOCs in the sensing medium. Simulation outcomes revealed that the bimetallic sensor with an amorphous phase of GST and 18 BP layers bestows maximum performance. It is perceived that the proposed gas sensor accomplished a noteworthy sensitivity of 150 0 /RIU and 163.63 0 /RIU for detecting lung and liver diseases, respectively, which proves its potential application in the biomedical industries .