Kumar N., Garcia C.P., Dixit A., Georgiev V.
International Conference on Simulation of Semiconductor Processes and Devices SISPAD, 2024
In this study, we introduce a novel methodology to investigate and model the nonlinear perturbative behaviour in an Electrolyte-Gated Field-Effect Transistor (EGFET) based on biosensors that are enhanced with immobilised nanoparticles. Our approach systematically addresses the perturbations occurring due to redundant silanol sites by quantifying their impact on sensor output, thereby improving the reliability of the sensor readings. Additionally, we explore the role of neutral gold nanoparticles in augmenting the sensor ability to detect and differentiate amino acid fingerprints effectively. Moreover, our research delves into the effects of random partial hybridisation of carboxylic acids (amino acids) under varying conditions, which alter the reactive sites available for binding. By integrating these factors into our analysis, we provide a robust framework for calibrating and benchmarking experimental data.
