An electrolyte-gate vertical TFET pH sensor design and simulation analysis

IF 5.2 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Dena N. Qasim Agha
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引用次数: 0

Abstract

This article examined a vertical Tunnel Field Effect transistor (TFET) based pH sensor with open and closed cavities with heterojunction Gallium Antimonide/Silicon (GaSb/Si) source. The addition of GaSb as a source increases the tunneling efficiency, resulting in a high tunneling current for the TFET pH sensor. The compound material (GaSb) increases the carrier current density, which leads to an increase in the sensitivity of the pH sensor. The ATLAS simulator used the density of states of conduction band (Nc) and valance band (Nv) to evaluate the change of pH in bio electrolyte solution. The density of states for an open and closed cavity has been evaluated with pH modelling of electrolyte solution. The sensitivity of the closed cavity and open cavity configuration is determined along with other electrical parameters like electric field, energy band bending, drain current, transconductance and sensitivities. Both the open and closed cavity configurations showed variation in the electrical behavior. The sensitivity is approximately three times the Nernst limit (59 mV/pH) for the closed (open) cavity voltage sensitivity of 228 mV/pH (287 mV/pH).
电解质栅极垂直TFET pH传感器的设计与仿真分析
本文研究了一种基于垂直隧道场效应晶体管(ttfet)的pH传感器,该传感器采用异质结锑化镓/硅(GaSb/Si)源,具有开腔和闭腔。添加GaSb作为源提高了隧穿效率,从而为ttfet pH传感器提供了高隧穿电流。复合材料(GaSb)增加了载流子电流密度,从而提高了pH传感器的灵敏度。ATLAS模拟器利用导带态密度(Nc)和价带态密度(Nv)来评价生物电解质溶液pH的变化。开放和封闭腔的状态密度已经用电解质溶液的pH模型进行了评估。闭合腔和开腔结构的灵敏度与电场、能带弯曲、漏极电流、跨导和灵敏度等其他电气参数一起确定。开腔和闭腔构型均表现出电行为的变化。灵敏度大约是闭合(打开)腔电压灵敏度228 mV/pH (287 mV/pH)的能斯特极限(59 mV/pH)的三倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Measurement
Measurement 工程技术-工程:综合
CiteScore
10.20
自引率
12.50%
发文量
1589
审稿时长
12.1 months
期刊介绍: Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.
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