Research Projects

The study aims to develop a highly sensitive and selective, non-invasive cortisol sensor for point of care diagnostics. Current diagnostic methods rely on laborious and time-consuming procedures, such as lateral flow tests or electrochemistry. The proposed cortisol sensor, which uses surface plasmon resonance (sPR) technology, could provide quick, reliable, label-free, and real-time sensing. However, there is still room for improvement in the sensor's sPR-based sensing characteristics. The research proposal introduces long-range surface plasmon polaritons (LR-sPPs) in fiber optic sensors to control and tune surface plasmon polaritons in fiber more precisely over a wider dynamic range. The study also analyzes the influence of 2D nanomaterials like graphene and antimonene as bio-recognition elements (BRE) on sensing characteristics for plasmonic LR-sPPs in fiber optic sensors. The goal is to achieve miniaturization, low weight, portable, and remote sensing capabilities. The proposed cortisol sensor will be portable, miniaturized, and have a minimal detection limit for POC diagnostics. This sensor will increase performance efficiency and provide a choice for remote sensing with future-generation sensor technology. The prototype will be helpful for POC diagnostics.