利用调制电介质超灵敏检测生物分子的 STFET 生物传感器分析建模

IF 1.6 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
B. Prashanth Kumar, A. Vinod, Biswajit Jena, A. Arivarasi, Jitendra Bahadur
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引用次数: 0

摘要

本文提出了基于肖特基隧道场效应晶体管(STFET)的生物传感器的分析模型,并对其栅极氧化物进行了调整。该模型是通过解析泊松方程和计算沟道深度横向抛物线电势而建立的。然后将生物晶体管作为生物传感器的特殊性质纳入漏极电流的分析建模中。生物分子与生物晶体管相互作用后,漏极电流的变化被用作确定灵敏度的指标。高级分析建模探索了几种器件限制。器件仿真用于保持和验证既定和计划的特性趋势。因此,建议的模型可以成为生物传感器最佳设计和制造的正确解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analytical modeling of STFET biosensor using modulated dielectric for ultrasensitive detection of biomolecules

This paper proposed analytical modeling of a Schottky tunnel field-effect transistor (STFET)—based biosensor with adjusted gate oxide. This model is developed by resolving the Poisson's equation and calculating the parabolic potential lateral to the channel depth. The special property of the bio-transistor, which serves as a biosensor, is then included in the analytical modeling of drain current. After the biomolecule interacts with the bio-transistor, a change in the drain current was employed as a metric to determine the sensitivity. The advanced analytical modeling explored several device restrictions. A device simulation is used to maintain and validate the established and planned characteristic trend. Consequently, the suggested model can be the right solution for the best design and fabrication of a biosensor.

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来源期刊
CiteScore
4.60
自引率
6.20%
发文量
101
审稿时长
>12 weeks
期刊介绍: Prediction through modelling forms the basis of engineering design. The computational power at the fingertips of the professional engineer is increasing enormously and techniques for computer simulation are changing rapidly. Engineers need models which relate to their design area and which are adaptable to new design concepts. They also need efficient and friendly ways of presenting, viewing and transmitting the data associated with their models. The International Journal of Numerical Modelling: Electronic Networks, Devices and Fields provides a communication vehicle for numerical modelling methods and data preparation methods associated with electrical and electronic circuits and fields. It concentrates on numerical modelling rather than abstract numerical mathematics. Contributions on numerical modelling will cover the entire subject of electrical and electronic engineering. They will range from electrical distribution networks to integrated circuits on VLSI design, and from static electric and magnetic fields through microwaves to optical design. They will also include the use of electrical networks as a modelling medium.
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