Single-trap phenomena stochastic switching for noise suppression in nanowire FET biosensors

With the fast-shrinking of transistor dimensions, low-frequency noise level considerably increases emerging as an important parameter for design advanced devices information technologies. Single-trap phenomena (STP) is a promising approach suppression technique in nanotransistor biosensors by considering trapping/detrapping signal. We show reduction mechanism offered STP nanoscale making analogy with stochastic resonance effect found biological systems single trap bistable stochastically driven nonlinear system which transmits and amplifies weak signals. The experimentally demonstrated fabricated liquid-gated nanosensors exploiting STP. optimal conditions parameters including optimized gate voltages to implement switching extraction useful signals from background level. These results should be considered development reliable highly sensitive biosensors.