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

作     者：Bhattacharyya, Amit Karumuri, Srinivasa Rao Chanda, Manash 

作者机构：Haldia Institute of Technology Department of Electronics and Communication Engineering West Bengal Haldia India K. L. E. F. Deemed to Be University VLSI-Microelectronics Research Lab Dept.of Ece Andhra Pradesh India Meghnad Saha Institute of Technology Department of Electronics and Communication Engineering Kolkata700150 India 

出 版 物：《IEEE Transactions on Consumer Electronics》 (IEEE Trans Consum Electron)

年 卷 期：2024年第71卷第1期

页      面：1054-1062页

核心收录：

学科分类：1201[管理学-管理科学与工程(可授管理学、工学学位)] 0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 0817[工学-化学工程与技术] 08[工学] 0805[工学-材料科学与工程（可授工学、理学学位）] 0703[理学-化学] 

主　　题：Cancer cells 

摘      要：Early detection of breast-cancer cell lines (HTB-126, HTB-26, MCF-7, and T-47D) reliant on double-metal In0.53Ga0.47As/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 developed and assessed with Silvaco ATLAS TCAD device simulator. Possible fabrication framework of the projected model is portrayed here. Optimization of device layout parameters concerning molar fraction of Ga and expanded gate length is performed to achieve 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 (SIon/Ioff) of 18.6×106 with average sub-threshold swing sensitivity (SSSA) of 93% are realized for T-47D category breast-cancer cell line with permittivity 32.2. Benchmarking is prepared to offer a quantifiable evaluation of the recommended Bio-HTFET with recently reported articles to spotlight its efficiency. 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. © 1975-2011 IEEE.