SPICE macromodel of silicon-on-insulator-field-effect-transistor-based biological sensors

Poornika G. Fernandes; Harvey J. Stiegler; Mingyue Zhao; Kurtis D. Cantley; Borna Obradovic; Richard A. Chapman; Huang Chun Wen; Gazi Mahmud; Eric M. Vogel

doi:10.1016/j.snb.2011.10.002

SPICE macromodel of silicon-on-insulator-field-effect-transistor-based biological sensors

Poornika G. Fernandes, Harvey J. Stiegler, Mingyue Zhao, Kurtis D. Cantley, Borna Obradovic, Richard A. Chapman, Huang Chun Wen, Gazi Mahmud, Eric M. Vogel

Electrical Engineering Department

Research output: Contribution to journal › Article › peer-review

29 Scopus citations

Abstract

A user-friendly behavioral macromodel for biological response of FET-based transistors has been developed for use with commercial SPICE versions and will enable circuit level analysis of biosensor chips. The model is based on the physically realistic representation of biological layers using an ion-permeable charged membrane model. Simulations demonstrate good agreement to experimental results. Logarithmic increments in bound membrane charge result in linear threshold voltage shifts. The model accounts for phenomena such as Debye screening of biomolecules resulting in reduced sensor response to increments in salt concentration. Additionally, the presence of site binding charge on oxide surfaces is shown to severely deteriorate sensitivity.

Original language	English
Pages (from-to)	163-170
Number of pages	8
Journal	Sensors and Actuators, B: Chemical
Volume	161
Issue number	1
DOIs	https://doi.org/10.1016/j.snb.2011.10.002
State	Published - 3 Jan 2012

Keywords

Biosensor
FET
Macromodel
Model
pH
Sensor
SOI
SPICE

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10.1016/j.snb.2011.10.002

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title = "SPICE macromodel of silicon-on-insulator-field-effect-transistor-based biological sensors",

abstract = "A user-friendly behavioral macromodel for biological response of FET-based transistors has been developed for use with commercial SPICE versions and will enable circuit level analysis of biosensor chips. The model is based on the physically realistic representation of biological layers using an ion-permeable charged membrane model. Simulations demonstrate good agreement to experimental results. Logarithmic increments in bound membrane charge result in linear threshold voltage shifts. The model accounts for phenomena such as Debye screening of biomolecules resulting in reduced sensor response to increments in salt concentration. Additionally, the presence of site binding charge on oxide surfaces is shown to severely deteriorate sensitivity.",

keywords = "Biosensor, FET, Macromodel, Model, pH, Sensor, SOI, SPICE",

author = "Fernandes, {Poornika G.} and Stiegler, {Harvey J.} and Mingyue Zhao and Cantley, {Kurtis D.} and Borna Obradovic and Chapman, {Richard A.} and Wen, {Huang Chun} and Gazi Mahmud and Vogel, {Eric M.}",

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AU - Fernandes, Poornika G.

AU - Stiegler, Harvey J.

AU - Zhao, Mingyue

AU - Cantley, Kurtis D.

AU - Obradovic, Borna

AU - Chapman, Richard A.

AU - Wen, Huang Chun

AU - Mahmud, Gazi

AU - Vogel, Eric M.

PY - 2012/1/3

Y1 - 2012/1/3

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AB - A user-friendly behavioral macromodel for biological response of FET-based transistors has been developed for use with commercial SPICE versions and will enable circuit level analysis of biosensor chips. The model is based on the physically realistic representation of biological layers using an ion-permeable charged membrane model. Simulations demonstrate good agreement to experimental results. Logarithmic increments in bound membrane charge result in linear threshold voltage shifts. The model accounts for phenomena such as Debye screening of biomolecules resulting in reduced sensor response to increments in salt concentration. Additionally, the presence of site binding charge on oxide surfaces is shown to severely deteriorate sensitivity.

KW - Biosensor

KW - FET

KW - Macromodel

KW - Model

KW - pH

KW - Sensor

KW - SOI

KW - SPICE

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M3 - Article

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SN - 0925-4005

VL - 161

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JO - Sensors and Actuators, B: Chemical

JF - Sensors and Actuators, B: Chemical

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ER -

SPICE macromodel of silicon-on-insulator-field-effect-transistor-based biological sensors

Abstract

Keywords

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