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Performance Optimization of Nitrogen Dioxide Gas Sensor Based on Pd-AlGaN/GaN HEMTs by Gate Bias Modulation

We investigated the sensing characteristics of NO(2) gas sensors based on Pd-AlGaN/GaN high electron mobility transistors (HEMTs) at high temperatures. In this paper, we demonstrated the optimization of the sensing performance by the gate bias, which exhibited the advantage of the FET-type sensors c...

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Detalles Bibliográficos
Autores principales: Nguyen, Van Cuong, Kim, Kwangeun, Kim, Hyungtak
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8066909/
https://www.ncbi.nlm.nih.gov/pubmed/33916387
http://dx.doi.org/10.3390/mi12040400
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author Nguyen, Van Cuong
Kim, Kwangeun
Kim, Hyungtak
author_facet Nguyen, Van Cuong
Kim, Kwangeun
Kim, Hyungtak
author_sort Nguyen, Van Cuong
collection PubMed
description We investigated the sensing characteristics of NO(2) gas sensors based on Pd-AlGaN/GaN high electron mobility transistors (HEMTs) at high temperatures. In this paper, we demonstrated the optimization of the sensing performance by the gate bias, which exhibited the advantage of the FET-type sensors compared to the diode-type ones. When the sensor was biased near the threshold voltage, the electron density in the channel showed a relatively larger change with a response to the gas exposure and demonstrated a significant improvement in the sensitivity. At 300 °C under 100 ppm concentration, the sensor’s sensitivities were 26.7% and 91.6%, while the response times were 32 and 9 s at V(G) = 0 V and V(G) = −1 V, respectively. The sensor demonstrated the stable repeatability regardless of the gate voltage at a high temperature.
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spelling pubmed-80669092021-04-25 Performance Optimization of Nitrogen Dioxide Gas Sensor Based on Pd-AlGaN/GaN HEMTs by Gate Bias Modulation Nguyen, Van Cuong Kim, Kwangeun Kim, Hyungtak Micromachines (Basel) Article We investigated the sensing characteristics of NO(2) gas sensors based on Pd-AlGaN/GaN high electron mobility transistors (HEMTs) at high temperatures. In this paper, we demonstrated the optimization of the sensing performance by the gate bias, which exhibited the advantage of the FET-type sensors compared to the diode-type ones. When the sensor was biased near the threshold voltage, the electron density in the channel showed a relatively larger change with a response to the gas exposure and demonstrated a significant improvement in the sensitivity. At 300 °C under 100 ppm concentration, the sensor’s sensitivities were 26.7% and 91.6%, while the response times were 32 and 9 s at V(G) = 0 V and V(G) = −1 V, respectively. The sensor demonstrated the stable repeatability regardless of the gate voltage at a high temperature. MDPI 2021-04-05 /pmc/articles/PMC8066909/ /pubmed/33916387 http://dx.doi.org/10.3390/mi12040400 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Nguyen, Van Cuong
Kim, Kwangeun
Kim, Hyungtak
Performance Optimization of Nitrogen Dioxide Gas Sensor Based on Pd-AlGaN/GaN HEMTs by Gate Bias Modulation
title Performance Optimization of Nitrogen Dioxide Gas Sensor Based on Pd-AlGaN/GaN HEMTs by Gate Bias Modulation
title_full Performance Optimization of Nitrogen Dioxide Gas Sensor Based on Pd-AlGaN/GaN HEMTs by Gate Bias Modulation
title_fullStr Performance Optimization of Nitrogen Dioxide Gas Sensor Based on Pd-AlGaN/GaN HEMTs by Gate Bias Modulation
title_full_unstemmed Performance Optimization of Nitrogen Dioxide Gas Sensor Based on Pd-AlGaN/GaN HEMTs by Gate Bias Modulation
title_short Performance Optimization of Nitrogen Dioxide Gas Sensor Based on Pd-AlGaN/GaN HEMTs by Gate Bias Modulation
title_sort performance optimization of nitrogen dioxide gas sensor based on pd-algan/gan hemts by gate bias modulation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8066909/
https://www.ncbi.nlm.nih.gov/pubmed/33916387
http://dx.doi.org/10.3390/mi12040400
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