{"title":"Modeling and simulation of GaInAsN/GaAs MOS-HEMT for rapid detection in biosensor applications","authors":"Chumki Das, Kaushik Mazumdar","doi":"10.1007/s10470-026-02574-6","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>High Electron Mobility Transistors (HEMTs) technology is being explored for the development of biosensors. While numerous floating gate HEMT-based biosensors have been experimentally developed, limited research exists on the modeling of MOSHEMT-based biosensors. In this work, an analytical model for an GaInAsN/GaAs MOSHEMT biosensor is presented for the first time, aimed at detecting biomolecules such as proteins, streptavidin, ChOx, and uricase using a dielectric modulation approach. The study focuses on detecting change in drain current for different biomolecules. Simulations of the proposed MOSHEMT structure were carried out using the SILVCO ATLAS TCAD device simulator. The simulation results show significant variations in the drain current and threshold voltage due to changes in the biomolecules within the cavity region. The threshold voltage experiences the highest positive shift for uricase, attributed to its low dielectric constant. The outcomes of the analytical model have been validated, showing strong agreement with the simulated results.</p>\n </div>","PeriodicalId":7827,"journal":{"name":"Analog Integrated Circuits and Signal Processing","volume":"126 3","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2026-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Analog Integrated Circuits and Signal Processing","FirstCategoryId":"5","ListUrlMain":"https://link.springer.com/article/10.1007/s10470-026-02574-6","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
引用次数: 0
Abstract
High Electron Mobility Transistors (HEMTs) technology is being explored for the development of biosensors. While numerous floating gate HEMT-based biosensors have been experimentally developed, limited research exists on the modeling of MOSHEMT-based biosensors. In this work, an analytical model for an GaInAsN/GaAs MOSHEMT biosensor is presented for the first time, aimed at detecting biomolecules such as proteins, streptavidin, ChOx, and uricase using a dielectric modulation approach. The study focuses on detecting change in drain current for different biomolecules. Simulations of the proposed MOSHEMT structure were carried out using the SILVCO ATLAS TCAD device simulator. The simulation results show significant variations in the drain current and threshold voltage due to changes in the biomolecules within the cavity region. The threshold voltage experiences the highest positive shift for uricase, attributed to its low dielectric constant. The outcomes of the analytical model have been validated, showing strong agreement with the simulated results.
期刊介绍:
Analog Integrated Circuits and Signal Processing is an archival peer reviewed journal dedicated to the design and application of analog, radio frequency (RF), and mixed signal integrated circuits (ICs) as well as signal processing circuits and systems. It features both new research results and tutorial views and reflects the large volume of cutting-edge research activity in the worldwide field today.
A partial list of topics includes analog and mixed signal interface circuits and systems; analog and RFIC design; data converters; active-RC, switched-capacitor, and continuous-time integrated filters; mixed analog/digital VLSI systems; wireless radio transceivers; clock and data recovery circuits; and high speed optoelectronic circuits and systems.