A novel computational framework for simulations of bio-field effect transistors

Kumar, N. , Dhar, R. P. S., Pascual Garcia, C. and Georgiev, V. (2023) A novel computational framework for simulations of bio-field effect transistors. ECS Transactions, 111(1), pp. 249-260. (doi: 10.1149/11101.0249ecst)

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In this work, we presented a novel simulation tool called the Biomolecule-Oxide Simulator (BOxSim) and its application in simulating the behavior of BioFETs. The capabilities of BOxSim are shown by investigating the impact of various high-k dielectric materials on important Figures of Merits such as current in the channel of the device, surface potential, sensitivity, and intrinsic buffer capacitance. The capabilities of our BOxSim framework allow us to discover new features in the variation of differential capacitance with respect to the second gradient of drain current and surface potential. The profile of the surface potential is used to uniquely identify the signatures (fingerprints) of amphoteric molecules like acids or peptides. The proposed model prospects the possibility to develop an efficient method for protein sequencing. The reliability of the designed model is confirmed by calibrating the simulated results with experimental data for different physical conditions. The results presented in this paper demonstrate the potential of this framework for advancing the field of biosensors and bioelectronics for the biorecognition of different molecules.

Item Type:Articles
Glasgow Author(s) Enlighten ID:Kumar, Dr Naveen and Dhar, Rakshita Pritam Singh and Georgiev, Professor Vihar
Authors: Kumar, N., Dhar, R. P. S., Pascual Garcia, C., and Georgiev, V.
College/School:College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
Journal Name:ECS Transactions
Publisher:The Electrochemical Society
ISSN (Online):1938-6737
Copyright Holders:Copyright © The Electrochemical Society 2023
First Published:First published in ECS Transactions 111(1):249-260
Publisher Policy:Reproduced in accordance with the publisher copyright policy

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
305900Electrochemically-enabled high-throughput peptidomics for next-generation precision medicineVihar GeorgievEuropean Commission (EC)862539ENG - Electronics & Nanoscale Engineering