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Study on the Simulation of Biosensors Based on Stacked Source Trench Gate TFET
In order to detect biomolecules, a biosensor based on a dielectric-modulated stacked source trench gate tunnel field effect transistor (DM-SSTGTFET) is proposed. The stacked source structure can simultaneously make the on-state current higher and the off-state current lower. The trench gate structur...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9920143/ https://www.ncbi.nlm.nih.gov/pubmed/36770492 http://dx.doi.org/10.3390/nano13030531 |
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author | Chong, Chen Liu, Hongxia Du, Shougang Wang, Shulong Zhang, Hao |
author_facet | Chong, Chen Liu, Hongxia Du, Shougang Wang, Shulong Zhang, Hao |
author_sort | Chong, Chen |
collection | PubMed |
description | In order to detect biomolecules, a biosensor based on a dielectric-modulated stacked source trench gate tunnel field effect transistor (DM-SSTGTFET) is proposed. The stacked source structure can simultaneously make the on-state current higher and the off-state current lower. The trench gate structure will increase the tunneling area and tunneling probability. Technology computer-aided design (TCAD) is used for the sensitivity study of the proposed structured biosensor. The results show that the current sensitivity of the DM-SSTGTFET biosensor can be as high as 10(8), the threshold voltage sensitivity can reach 0.46 V and the subthreshold swing sensitivity can reach 0.8. As a result of its high sensitivity and low power consumption, the proposed biosensor has highly promising prospects. |
format | Online Article Text |
id | pubmed-9920143 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99201432023-02-12 Study on the Simulation of Biosensors Based on Stacked Source Trench Gate TFET Chong, Chen Liu, Hongxia Du, Shougang Wang, Shulong Zhang, Hao Nanomaterials (Basel) Article In order to detect biomolecules, a biosensor based on a dielectric-modulated stacked source trench gate tunnel field effect transistor (DM-SSTGTFET) is proposed. The stacked source structure can simultaneously make the on-state current higher and the off-state current lower. The trench gate structure will increase the tunneling area and tunneling probability. Technology computer-aided design (TCAD) is used for the sensitivity study of the proposed structured biosensor. The results show that the current sensitivity of the DM-SSTGTFET biosensor can be as high as 10(8), the threshold voltage sensitivity can reach 0.46 V and the subthreshold swing sensitivity can reach 0.8. As a result of its high sensitivity and low power consumption, the proposed biosensor has highly promising prospects. MDPI 2023-01-28 /pmc/articles/PMC9920143/ /pubmed/36770492 http://dx.doi.org/10.3390/nano13030531 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Chong, Chen Liu, Hongxia Du, Shougang Wang, Shulong Zhang, Hao Study on the Simulation of Biosensors Based on Stacked Source Trench Gate TFET |
title | Study on the Simulation of Biosensors Based on Stacked Source Trench Gate TFET |
title_full | Study on the Simulation of Biosensors Based on Stacked Source Trench Gate TFET |
title_fullStr | Study on the Simulation of Biosensors Based on Stacked Source Trench Gate TFET |
title_full_unstemmed | Study on the Simulation of Biosensors Based on Stacked Source Trench Gate TFET |
title_short | Study on the Simulation of Biosensors Based on Stacked Source Trench Gate TFET |
title_sort | study on the simulation of biosensors based on stacked source trench gate tfet |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9920143/ https://www.ncbi.nlm.nih.gov/pubmed/36770492 http://dx.doi.org/10.3390/nano13030531 |
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