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Potential of Carbon Nanotube Chemiresistor Array in Detecting Gas-Phase Mixtures of Toxic Chemical Compounds
Toxic industrial chemicals (TICs), when accidentally released into the workplace or environment, often form a gaseous mixture that complicates detection and mitigation measures. However, most of the existing gas sensors are unsuitable for detecting such mixtures. In this study, we demonstrated the d...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10421483/ https://www.ncbi.nlm.nih.gov/pubmed/37570518 http://dx.doi.org/10.3390/nano13152199 |
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author | Lee, Seongwoo Park, Sanghwan Lim, Seongyeop Lee, Cheongha Lee, Chang Young |
author_facet | Lee, Seongwoo Park, Sanghwan Lim, Seongyeop Lee, Cheongha Lee, Chang Young |
author_sort | Lee, Seongwoo |
collection | PubMed |
description | Toxic industrial chemicals (TICs), when accidentally released into the workplace or environment, often form a gaseous mixture that complicates detection and mitigation measures. However, most of the existing gas sensors are unsuitable for detecting such mixtures. In this study, we demonstrated the detection and identification of gaseous mixtures of TICs using a chemiresistor array of single-walled carbon nanotubes (SWCNTs). The array consists of three SWCNT chemiresistors coated with different molecular/ionic species, achieving a limit of detection (LOD) of 2.2 ppb for ammonia (NH(3)), 820 ppb for sulfur dioxide (SO(2)), and 2.4 ppm for ethylene oxide (EtO). By fitting the concentration-dependent sensor responses to an adsorption isotherm, we extracted parameters that characterize each analyte-coating combination, including the proportionality and equilibrium constants for adsorption. Principal component analysis confirmed that the sensor array detected and identified mixtures of two TIC gases: NH(3)/SO(2), NH(3)/EtO, and SO(2)/EtO. Exposing the sensor array to three TIC mixtures with various EtO/SO(2) ratios at a fixed NH(3) concentration showed an excellent correlation between the sensor response and the mixture composition. Additionally, we proposed concentration ranges within which the sensor array can effectively detect the gaseous mixtures. Being highly sensitive and capable of analyzing both individual and mixed TICs, our gas sensor array has great potential for monitoring the safety and environmental effects of industrial chemical processes. |
format | Online Article Text |
id | pubmed-10421483 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-104214832023-08-12 Potential of Carbon Nanotube Chemiresistor Array in Detecting Gas-Phase Mixtures of Toxic Chemical Compounds Lee, Seongwoo Park, Sanghwan Lim, Seongyeop Lee, Cheongha Lee, Chang Young Nanomaterials (Basel) Article Toxic industrial chemicals (TICs), when accidentally released into the workplace or environment, often form a gaseous mixture that complicates detection and mitigation measures. However, most of the existing gas sensors are unsuitable for detecting such mixtures. In this study, we demonstrated the detection and identification of gaseous mixtures of TICs using a chemiresistor array of single-walled carbon nanotubes (SWCNTs). The array consists of three SWCNT chemiresistors coated with different molecular/ionic species, achieving a limit of detection (LOD) of 2.2 ppb for ammonia (NH(3)), 820 ppb for sulfur dioxide (SO(2)), and 2.4 ppm for ethylene oxide (EtO). By fitting the concentration-dependent sensor responses to an adsorption isotherm, we extracted parameters that characterize each analyte-coating combination, including the proportionality and equilibrium constants for adsorption. Principal component analysis confirmed that the sensor array detected and identified mixtures of two TIC gases: NH(3)/SO(2), NH(3)/EtO, and SO(2)/EtO. Exposing the sensor array to three TIC mixtures with various EtO/SO(2) ratios at a fixed NH(3) concentration showed an excellent correlation between the sensor response and the mixture composition. Additionally, we proposed concentration ranges within which the sensor array can effectively detect the gaseous mixtures. Being highly sensitive and capable of analyzing both individual and mixed TICs, our gas sensor array has great potential for monitoring the safety and environmental effects of industrial chemical processes. MDPI 2023-07-28 /pmc/articles/PMC10421483/ /pubmed/37570518 http://dx.doi.org/10.3390/nano13152199 Text en © 2023 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 Lee, Seongwoo Park, Sanghwan Lim, Seongyeop Lee, Cheongha Lee, Chang Young Potential of Carbon Nanotube Chemiresistor Array in Detecting Gas-Phase Mixtures of Toxic Chemical Compounds |
title | Potential of Carbon Nanotube Chemiresistor Array in Detecting Gas-Phase Mixtures of Toxic Chemical Compounds |
title_full | Potential of Carbon Nanotube Chemiresistor Array in Detecting Gas-Phase Mixtures of Toxic Chemical Compounds |
title_fullStr | Potential of Carbon Nanotube Chemiresistor Array in Detecting Gas-Phase Mixtures of Toxic Chemical Compounds |
title_full_unstemmed | Potential of Carbon Nanotube Chemiresistor Array in Detecting Gas-Phase Mixtures of Toxic Chemical Compounds |
title_short | Potential of Carbon Nanotube Chemiresistor Array in Detecting Gas-Phase Mixtures of Toxic Chemical Compounds |
title_sort | potential of carbon nanotube chemiresistor array in detecting gas-phase mixtures of toxic chemical compounds |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10421483/ https://www.ncbi.nlm.nih.gov/pubmed/37570518 http://dx.doi.org/10.3390/nano13152199 |
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