SENSITIVITY INVESTIGATIGATION OF UNDERLAP GATE CAVITY BASED RECONFIGURABLE SILICON NANOWIRE SCHOTTKY BARRIER TRANSISTOR FOR BIOSENSOR APPLICATION

Abstract

This study explores the sensitivity of Underlap Gate Cavity-based Reconfigurable Silicon Nanowire Schottky Barrier Transistors (UGC-RSiNW SBT) for biosensor applications. The notable feature of this device is its reconfigurability, enabling it to function as either depending on the applied bias polarity, p-type or n-type. This flexibility is integral to its operation, allowing for more efficient and versatile biomolecule detection.The biosensor is designed with a cavity beneath the control gate on the source side, which accommodates neutral and charged bio-molecules with various dielectric constants (K values). When bio molecules are introduced into the cavity, they induce changes in the device's electrostatic properties, such as threshold voltage (VTH), electric potential, electric field, sub-threshold swing, and the on-current (ION), as well as the ratio of ION to off-current (IOFF).The study's results indicate that the threshold voltage sensitivity in n-mode is increased by 97.91%, while in p-mode it is enhanced by 16% compared to conventional RFET biosensors. These significant sensitivity improvements highlight the potential of the UGC RSiNW SBT as a highly effective biosensor.The insights gained from this research are crucial for the development of advanced biosensors with high sensitivity, which are essential for various applications in healthcare, biotechnology, and other fields. The ability of the UGC-RSiNW SBT to detect both neutral and charged bio-molecules with high precision makes it a valuable tool for early disease diagnosis, environmental monitoring, and other critical applications where accurate biomolecule detection is necessary. In summary, the UGC-RSiNW SBT's reconfigurable nature and enhanced sensitivity position it as a promising technology for future biosensor applications. its dual-functionality as both p-type and n-type, depending on the bias, along with its significant sensitivity enhancements, suggest it could play a key role in the advancement of biosensing technologies.