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Cited by 296Advancements in Semiconductor Devices and Circuit DesignAdvanced biosensing and bioanalysis techniquesAnalytical Chemistry and Sensors

The DOI matches its Crossref record.

Comparative analysis of dielectric- modulated FET and TFET-based biosensor

Narang, Rakhi, Saxena, Manoj, Gupta, Mridula·2015·IEEE Transactions on Nanotechnology
DOI 10.1109/tnano.2015.2396899
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Abstract

An extensive study is presented to describe the impact of partial hybridization on the device electrostatics and on current of a silicon dielectric-modulated tunnel field effect transistor (DM-TFET). To gain insight into the various design considerations and factors influencing the sensitivity, both process-related issue such as cavity length variation and real-time issues related to biomolecules behavior such as partial hybridization, charge, and position of receptors/target molecules have been investigated through extensive numerical simulations. The results indicate that TFET-based sensor does not suffer from scaling issues and thus can help in miniaturization without compromising the sensitivity, unlike a nanogap-embedded DM-FET.

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Crossref · 10.1109/tnano.2015.2396899

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  • TFET-based biosensors are more sensitive for different biomolecules than traditional MOSFET biosensors due to differences in current injection mechanisms.

    “As we can see from Fig. 16, the traditional MOSFET biosensor shows the lowest sensitivity and TFET based biosensors are more sensitive for the different biomolecules due to the difference in current injection mechanisms [41].”

    From A Vertically Stacked Nanosheet Gate-All-Around FET for Biosensing Application (2021) · cites this paper as [41]

  • Traditional MOSFET biosensors show the lowest sensitivity.

    “As we can see from Fig. 16, the traditional MOSFET biosensor shows the lowest sensitivity and TFET based biosensors are more sensitive for the different biomolecules due to the difference in current injection mechanisms [41].”

    From A Vertically Stacked Nanosheet Gate-All-Around FET for Biosensing Application (2021) · cites this paper as [41]

Citations

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No references could be resolved yet.

Research works printed but not linked: 13

  1. 10.1109/TED.2011.2148118 · DOI
  2. 10.1109/TNANO.2011.2175006 · DOI
  3. 10.1109/TNANO.2011.2157519 · DOI
  4. 10.1109/TED.2010.2076152 · DOI
  5. 10.1093/nar/29.24.5163 · DOI
  6. 10.1063/1.3698093 · DOI
  7. 10.1109/TED.2012.2208115 · DOI · Paper page
  8. 10.1109/TED.2012.2209650 · DOI
  9. 10.1038/nnano.2007.180 · DOI · Paper page
  10. 10.1109/TED.2008.916711 · DOI
  11. 10.1016/j.snb.2011.08.006 · DOI
  12. 10.1109/LED.2011.2174024 · DOI
  13. 10.1016/S0925-4005(02)00301-5 · DOI · Paper page

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Metadata

Authors
Narang, R., Saxena, M., & Gupta, M.
Affiliations
University of Delhi (IN)
ORCID
Venue
IEEE Transactions on Nanotechnology
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
2015-05
Volume
14
Issue
3
Pages
427-435
ISSN
  • 1536-125X (ISSN-L)
  • 1941-0085
DOI
10.1109/tnano.2015.2396899
OpenAlex
W2129487886
Cited by
296
References
0
Citations by year
2026: 25 · 2025: 39 · 2024: 55 · 2023: 44 · 2022: 50 · 2021: 31 · 2020: 25 · 2019: 8 · 2018: 7 · 2017: 7 · 2016: 4 · 2015: 1
FWCI
2.95
Type
journal article
Language
en
Open access
closed
Licence
ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html (vor)
Locations
IEEE Transactions on Nanotechnology (publishedVersion)
Funders
  • Ministry of Science and Technology
  • Department of Science and Technology
  • Government of India
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Advancements in Semiconductor Devices and Circuit Design
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Advanced biosensing and bioanalysis techniques
  • Physical Sciences › Chemistry › Analytical Chemistry › Analytical Chemistry and Sensors
Keywords
tunnel field-effect transistor, biosensors, DNA hybridization, cavity length variation, sensor sensitivity, device miniaturization

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