Breast-Cancer Cell Lines Recognition: Modeling and Simulation With Repulsive Steric Hindrance Approach

Early detection of breast-cancer cell lines (HTB-126, HTB-26, MCF-7, and T-47D) reliant on double-metalIn0.53Ga0.47As/Si hetero-junctioned dopingless expanded gate Bio-TFET (DM-DL-EG-Bio-HTFET)with enormous sensitivity is specified in this manuscript. Analytical modeling for the configuration has been developedand assessed with Silvaco ATLAS TCAD device simulator. Possible fabrication framework of the projected model is portrayedhere. Optimization of device layout parameters concerning molar fraction of Ga and expanded gate length is performed toachieve superior efficacy. The repulsive nature of steric effect (RSE) is initiated to evade the deviations among the hypothetical evaluations and practical results. Device electrostatics along with the sensing presentations of the offered Bio-HTFET and the impact of RSE on electrical features is explored. A best possible ON-to-OFF current sensitivity (<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${\mathrm {S}}_{\text {Ion/Ioff}}$ </tex-math></inline-formula>) of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$18.6\times 10{^{{6}}}$ </tex-math></inline-formula> with average sub-threshold swing sensitivity (SSSA) of 93% are realized for T-47D category breast-cancer cell line with permittivity 32.2. Benchmarking isprepared to offer a quantifiable evaluation of the recommended Bio-HTFET with recently reported articles to spotlight itsefficiency. An utmost 41% inaccuracy in resultant capacitance is estimated devoid of considering RSE. Hence, RSE needs to be incorporated during biosensing investigations to create it generally realistic.

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Publication Details

Journal
IEEE Transactions on Consumer Electronics
Published
2024-12-23
DOI
https://doi.org/10.1109/tce.2024.3521993
Citations
5
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
1.74
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article

Breast-Cancer Cell Lines Recognition: Modeling and Simulation With Repulsive Steric Hindrance Approach

K. Srinivasa Rao, Amit Bhattacharyya, Manash Chanda
5 citations
IEEE Transactions on Consumer Electronics
AI in cancer detection
1.74
article

Breast-Cancer Cell Lines Recognition: Modeling and Simulation With Repulsive Steric Hindrance Approach

K. Srinivasa Rao, Amit Bhattacharyya, Manash Chanda
article en
5 citations

Abstract

Early detection of breast-cancer cell lines (HTB-126, HTB-26, MCF-7, and T-47D) reliant on double-metalIn0.53Ga0.47As/Si hetero-junctioned dopingless expanded gate Bio-TFET (DM-DL-EG-Bio-HTFET)with enormous sensitivity is specified in this manuscript. Analytical modeling for the configuration has been developedand assessed with Silvaco ATLAS TCAD device simulator. Possible fabrication framework of the projected model is portrayedhere. Optimization of device layout parameters concerning molar fraction of Ga and expanded gate length is performed toachieve superior efficacy. The repulsive nature of steric effect (RSE) is initiated to evade the deviations among the hypothetical evaluations and practical results. Device electrostatics along with the sensing presentations of the offered Bio-HTFET and the impact of RSE on electrical features is explored. A best possible ON-to-OFF current sensitivity (<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${\mathrm {S}}_{\text {Ion/Ioff}}$ </tex-math></inline-formula>) of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$18.6\times 10{^{{6}}}$ </tex-math></inline-formula> with average sub-threshold swing sensitivity (SSSA) of 93% are realized for T-47D category breast-cancer cell line with permittivity 32.2. Benchmarking isprepared to offer a quantifiable evaluation of the recommended Bio-HTFET with recently reported articles to spotlight itsefficiency. An utmost 41% inaccuracy in resultant capacitance is estimated devoid of considering RSE. Hence, RSE needs to be incorporated during biosensing investigations to create it generally realistic.

IEEE Transactions on Consumer ElectronicsVol. 71(1)
Haldia Institute of Technology (IN), SASTRA University (IN)
Good health and well-being
Openalex Percentile: Top 12%
AI in cancer detection
1.74
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