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Gate-bias controlled charge trapping as a mechanism for NO2 detection with field-effect transistors

Authors :
Dago M. de Leeuw
Juliaan R. Meijboom
Simon G. J. Mathijssen
Paul W. M. Blom
Edsger C. P. Smits
Anne-Marije Andringa
Plasma & Materials Processing
Molecular Materials and Nanosystems
Zernike Institute for Advanced Materials
Source :
Advanced Functional Materials, 21(1), 100-107. Wiley-VCH Verlag, Advanced Functional Materials, 21(1), 100-107. WILEY-V C H VERLAG GMBH, Advanced Functional Materials, 1, 21, 100-107
Publication Year :
2011
Publisher :
Wiley-VCH Verlag, 2011.

Abstract

Detection of nitrogen dioxide, NO2, is required to monitor the air-quality for human health and safety. Commercial sensors are typically chemiresistors, however field-effect transistors are being investigated. Although numerous investigations have been reported, the NO2 sensing mechanism is not clear. Here, the detection mechanism using ZnO field-effect transistors is investigated. The current gradually decreases upon NO2 exposure and application of a positive gate bias. The current decrease originates from the trapping of electrons, yielding a shift of the threshold voltage towards the applied gate bias. The shift is observed for extremely low NO2 concentrations down to 10 ppb and can phenomenologically be described by a stretched-exponential time relaxation. NO2 detection has been demonstrated with n-type, p-type, and ambipolar semiconductors. In all cases, the threshold voltage shifts due to gate bias induced electron trapping. The description of the NO2 detection with field-effect transistors is generic for all semiconductors and can be used to improve future NO2 sensors. The mechanism of NO2 detection is investigated using ZnO field-effect transistors. The transistor current gradually decreases upon NO2 exposure. The decrease originates from the trapping of electrons, which causes a shift of the threshold voltage towards the applied gate bias. The shift can be described by a stretched-exponential time relaxation and is observed for extremely low NO2 concentrations. Copyright © 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Details

Language :
English
ISSN :
16163028 and 1616301X
Volume :
21
Issue :
1
Database :
OpenAIRE
Journal :
Advanced Functional Materials
Accession number :
edsair.doi.dedup.....3fb5523466bfdc498e5a7ed3c6446b1e