Deriving a novel methodology for nano-BioFETs and analysing the effect of high-k oxides on the amino-acids sensing application

• The Gouy-Chapman-Stern layer model combines the Helmholtz and diffuse double of Gouy-Chapman to explain development double-layer capacitance on sensor’s surface. Site-binding is used describe surface charge developed at oxide/electrolyte interface. This paper presents a new methodology that these two theories, our method applied AAs (amino acids) immobilized sensor Moreover, simulation work shows each AA has unique signature (fingerprints) can be distinguish identify AA. In this paper, we present results BioFET using based models. derived approach sense different amino acids, such as Arginine (R), Aspartic Acid (D) Proline (P), functionalized with help linker connected gate-oxide. performance BioFETs optimized while analyzing effect high-k dielectrics gate oxide. general, channel oxides are responsible for tuning parameters sensitivity, potential intrinsic buffer capacity. variation total capacitance, second derivative drain current uniquely signatures acids. proposed helpful in defining an efficient label-free protein sequencing.