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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM53899

ALGAN/GAN HEMT-Based Biosensor for Rapid and Sensitive Detection of Biomolecules

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM53899

Volume:

9 |

11 |

Nov 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM53899

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

AB

Amulya BV

PR

Priya R

CS

Chethana S

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Abstract

HEMT technology is being used for development of biosensors. Many floating gate HEMT based biosensors have been experimentally developed but little work has been reported on modeling of MOSHEMT based biosensors. Therefore in this paper an analytical model of AlGaN/GaN MOSHEMT based biosensor has been developed for the first time to detect the biomolecule species such as protein, streptavidin, ChOx, and uricase by using dielectric modulation approach. In this paper cavity length and dielectric constant of MOSHEMT device are optimized to improve the sensitivity of the device. The proposed structure of MOSHEMT has been simulated on ATLAS TCAD device simulator and the simulated results show a significant change in drain current, shift in threshold voltage, change in channel potential below cavity region and capacitance on introducing biomolecules in the nanogap cavity. The results of analytical model have been verified and they show good agreement with simulated results. The Sensitivity of the device can be enhanced by optimizing device parameters such as nanogap cavity length, width and also by varying gate length of the device.

KEYWORDS

Biomolecule Biosensor 2DEG (Two Dimentional Electron Gas) MOSHEMT

Cite This Article

Amulya BV, Priya R, Chethana S, "ALGAN/GAN HEMT-Based Biosensor for Rapid and Sensitive Detection of Biomolecules," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 11, Nov 2025. https://doi.org/10.55041/IJSREM53899

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Publication Date

11/13/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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