Tuning sensitivity of bimetallic, MXene and graphene-based SPR biosensors for rapid malaria detection: a numerical approach

• Published in: Journal of computational electronics Vol. 23; no. 4; pp. 920 - 929
• Main Authors: Karki, Bhishma, Uniyal, Arun, Sharma, Manoj, Yadav, Ram Bharos, Buduma, Parusharamulu
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.08.2024; Springer Nature B.V
• Subjects: Bimetals; Biomolecules; Biosensors; Blood; Electric fields; Electrical Engineering; Engineering; Environmental monitoring; Gold; Graphene; Hemoglobin; Identification methods; Light; Malaria; Mathematical and Computational Engineering; Mathematical and Computational Physics; Matrix methods; Mechanical Engineering; MXenes; Numerical methods; Optical and Electronic Materials; Optical properties; Sensitivity; Sensors; Silver; Surface plasmon resonance; Theoretical; Thin films; Transfer matrices; BK7 prism; Malaria detection; Sensitivity tuning; SPR sensor
• ISSN: 1569-8025; 1572-8137
• DOI: 10.1007/s10825-024-02191-4

The potential of surface plasmon resonance (SPR) biosensors to detect different biomolecules quickly and sensitively has attracted much attention. In this work, we use a numerical method to identify malaria phases by exploring the sensitivity adjustment of SPR sensors based on bimetallic, MXene and graphene layers. Effective treatment for malaria, a potentially fatal disease brought on by plasmodium parasites, depends on early identification. Innovative biosensing technologies are necessary since traditional diagnostic procedures frequently lack sensitivity and speed. The transfer matrix method is employed here in this study for reflectance calculation. The COMSOL software finds the electric field distribution across the various layers interfaces. The maximum sensitivity of 301.1667°/RIU has been attained for the proposed work.