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Selective Detection of Nitrogen-Containing Compound Gases
N-containing gaseous compounds, such as trimethylamine (TMA), triethylamine (TEA), ammonia (NH(3)), nitrogen monoxide (NO), and nitrogen dioxide (NO(2)) exude irritating odors and are harmful to the human respiratory system at high concentrations. In this study, we investigated the sensing responses...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6719914/ https://www.ncbi.nlm.nih.gov/pubmed/31443298 http://dx.doi.org/10.3390/s19163565 |
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author | Yoo, Ran Lee, Hyun-Sook Kim, Wonkyung Park, Yunji Koo, Aran Jin, Sang-Hyun Pham, Thang Viet Kim, Myung Jong Maeng, Sunglyul Lee, Wooyoung |
author_facet | Yoo, Ran Lee, Hyun-Sook Kim, Wonkyung Park, Yunji Koo, Aran Jin, Sang-Hyun Pham, Thang Viet Kim, Myung Jong Maeng, Sunglyul Lee, Wooyoung |
author_sort | Yoo, Ran |
collection | PubMed |
description | N-containing gaseous compounds, such as trimethylamine (TMA), triethylamine (TEA), ammonia (NH(3)), nitrogen monoxide (NO), and nitrogen dioxide (NO(2)) exude irritating odors and are harmful to the human respiratory system at high concentrations. In this study, we investigated the sensing responses of five sensor materials—Al-doped ZnO (AZO) nanoparticles (NPs), Pt-loaded AZO NPs, a Pt-loaded WO(3) (Pt-WO(3)) thin film, an Au-loaded WO(3) (Au-WO(3)) thin film, and N-doped graphene—to the five aforementioned gases at a concentration of 10 parts per million (ppm). The ZnO- and WO(3)-based materials exhibited n-type semiconducting behavior, and their responses to tertiary amines were significantly higher than those of nitric oxides. The N-doped graphene exhibited p-type semiconducting behavior and responded only to nitric oxides. The Au- and Pt-WO(3) thin films exhibited extremely high responses of approximately 100,000 for 10 ppm of triethylamine (TEA) and approximately −2700 for 10 ppm of NO(2), respectively. These sensing responses are superior to those of previously reported sensors based on semiconducting metal oxides. On the basis of the sensing response results, we drew radar plots, which indicated that selective pattern recognition could be achieved by using the five sensing materials together. Thus, we demonstrated the possibility to distinguish each type of gas by applying the patterns to recognition techniques. |
format | Online Article Text |
id | pubmed-6719914 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-67199142019-09-10 Selective Detection of Nitrogen-Containing Compound Gases Yoo, Ran Lee, Hyun-Sook Kim, Wonkyung Park, Yunji Koo, Aran Jin, Sang-Hyun Pham, Thang Viet Kim, Myung Jong Maeng, Sunglyul Lee, Wooyoung Sensors (Basel) Article N-containing gaseous compounds, such as trimethylamine (TMA), triethylamine (TEA), ammonia (NH(3)), nitrogen monoxide (NO), and nitrogen dioxide (NO(2)) exude irritating odors and are harmful to the human respiratory system at high concentrations. In this study, we investigated the sensing responses of five sensor materials—Al-doped ZnO (AZO) nanoparticles (NPs), Pt-loaded AZO NPs, a Pt-loaded WO(3) (Pt-WO(3)) thin film, an Au-loaded WO(3) (Au-WO(3)) thin film, and N-doped graphene—to the five aforementioned gases at a concentration of 10 parts per million (ppm). The ZnO- and WO(3)-based materials exhibited n-type semiconducting behavior, and their responses to tertiary amines were significantly higher than those of nitric oxides. The N-doped graphene exhibited p-type semiconducting behavior and responded only to nitric oxides. The Au- and Pt-WO(3) thin films exhibited extremely high responses of approximately 100,000 for 10 ppm of triethylamine (TEA) and approximately −2700 for 10 ppm of NO(2), respectively. These sensing responses are superior to those of previously reported sensors based on semiconducting metal oxides. On the basis of the sensing response results, we drew radar plots, which indicated that selective pattern recognition could be achieved by using the five sensing materials together. Thus, we demonstrated the possibility to distinguish each type of gas by applying the patterns to recognition techniques. MDPI 2019-08-15 /pmc/articles/PMC6719914/ /pubmed/31443298 http://dx.doi.org/10.3390/s19163565 Text en © 2019 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Yoo, Ran Lee, Hyun-Sook Kim, Wonkyung Park, Yunji Koo, Aran Jin, Sang-Hyun Pham, Thang Viet Kim, Myung Jong Maeng, Sunglyul Lee, Wooyoung Selective Detection of Nitrogen-Containing Compound Gases |
title | Selective Detection of Nitrogen-Containing Compound Gases |
title_full | Selective Detection of Nitrogen-Containing Compound Gases |
title_fullStr | Selective Detection of Nitrogen-Containing Compound Gases |
title_full_unstemmed | Selective Detection of Nitrogen-Containing Compound Gases |
title_short | Selective Detection of Nitrogen-Containing Compound Gases |
title_sort | selective detection of nitrogen-containing compound gases |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6719914/ https://www.ncbi.nlm.nih.gov/pubmed/31443298 http://dx.doi.org/10.3390/s19163565 |
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