Performance analysis of III-nitride materials based biosensors for detection of albumin protein

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Authors

Bouguenna Abdellah¹ , Bouguenna Driss² , Boudghene Stambouli Amine¹

1. Electronics Department, Sciences & Technology University of Oran
2. Commun Core Department in Science and Technology, Mustapha Stambouli University of Mascara

Conference / event

1st International Conference on Material Science and Applications, February 2023 (Virtual)

Poster summary

In this work, AlGaN metal-oxide-semiconductor high-electron-mobility transistor (MOS-HEMT) based biosensor has been presented for detecting the albumin protein. The simulation results of the sensitivity parameters used to detect albumin protein such as drain current, transconductance, output conductance, gate-to-drain capacitance, and sensitivity have been obtained with atlas-technology computer aided design (Atlas-TCAD). The AlGaN/GaN MOS-HEMT device is optimized, in require to improve the biosensor sensitivity. The sensitivity obtained is 55.81%.

Keywords

AlGaN, MOS-HEMT, Biosensors, Permittivity, Albumin

Research areas

Bioengineering, Nanoengineering

References

1. [1] Y.H. Jung, H. Zhang, S.J. Cho, Z. Ma, Flexible and Stretchable Microwave Microelectronic Devices and Circuits, IEEE Trans. Electron Devices, 64 (2017) 1881–1893.
2. [2] A. Beloufa, D. Bouguenna, N. Kermas, D.J. As, A physics-based compact static and dynamic characteristics model for Al2O3/InxAl1−xN/AlN/GaN MOS-HEMTs. J. Electron. Mater., 49 (2020) 2008–2017.
3. [3] Y. Pratap, M. Kumar, S. Kabra, S. Haldar, R.S. Gupta, M. Gupta. Analytical modeling of gate-all-around junctionless transistor-based biosensors for detection of neutral biomolecule species. J Comput Electron. 17, 288–296 (2018)

Funding

No data provided

Supplemental files

No data provided

Additional information

Competing interests

No competing interests were disclosed.

Data availability statement

The datasets generated during and / or analyzed during the current study are available from the corresponding author on reasonable request.

Creative Commons license

Copyright © 2023 Abdellah et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.