학술논문

Numerical Investigation of Localized Surface Plasmon Resonance (LSPR) based Sensor for Glucose Level Monitoring
Document Type
Conference
Source
2021 Second International Symposium on Instrumentation, Control, Artificial Intelligence, and Robotics (ICA-SYMP) Instrumentation, Control, Artificial Intelligence, and Robotics (ICA-SYMP), 2021 Second International Symposium on. :1-4 Jan, 2021
Subject
Power, Energy and Industry Applications
Robotics and Control Systems
Nanoparticles
Gold
Sensitivity
Robot sensing systems
Glucose
Optical sensors
Surface plasmons
Localized Surface Plasmon Resonance (LSPR)
Maxwell Garnett's formula
Fabry-Perot equation
Urine glucose
Gold nanoparticles
Language
Abstract
This study aims to apply Localized Surface Plasmon Resonance (LSPR), Maxwell Garnett's formula, and Fabry-Perot theory together to design and develop a LSPR enhanced gold colloidal nanoparticles (AuNPs) sensor to be used in biomedical applications such as detection of glucose level in urine for early stage screening of diabetic patients. In this work, the LSPR based sensor has been designed and studied numerically to detect the glucose level from the change in the effective index resulting in a red shift of the absorption peak. The sensors were designed to have various sizes of the gold nanoparticles in a range between 20 nm and 100 nm by having different molar ratio with Trisodium Citrate (TSC) which acts as stabilizer in the synthesis. The maximum possible sensitivity of the sensor can be achieved with 70 nm diameter of gold nanoparticles at 0.2 volume fraction of AuNP to glucose solution.