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Evaluating a Novel Gas Sensor for Ambient Monitoring in Automated Life Science Laboratories

Air pollution and leakages of hazardous and toxic gases and chemicals are among the dangers that frequently occur at automated chemical and life science laboratories. This type of accident needs to be processed as soon as possible to avoid the harmful side effects that can happen when a human is exp...

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Autores principales: Al-Okby, Mohammed Faeik Ruzaij, Roddelkopf, Thomas, Fleischer, Heidi, Thurow, Kerstin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9654358/
https://www.ncbi.nlm.nih.gov/pubmed/36365859
http://dx.doi.org/10.3390/s22218161
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author Al-Okby, Mohammed Faeik Ruzaij
Roddelkopf, Thomas
Fleischer, Heidi
Thurow, Kerstin
author_facet Al-Okby, Mohammed Faeik Ruzaij
Roddelkopf, Thomas
Fleischer, Heidi
Thurow, Kerstin
author_sort Al-Okby, Mohammed Faeik Ruzaij
collection PubMed
description Air pollution and leakages of hazardous and toxic gases and chemicals are among the dangers that frequently occur at automated chemical and life science laboratories. This type of accident needs to be processed as soon as possible to avoid the harmful side effects that can happen when a human is exposed. Nitrogen oxides and volatile organic compounds are among the most prominent indoor air pollutants, which greatly affect the lifestyles in these places. In this study, a commercial MOX gas sensor, SGP41, was embedded in an IoT environmental sensor node for hazardous gas detection and alarm. The sensor can detect several parameters, including nitrogen oxide index (NOx-Index) and volatile organic compound index (VOC-Index). Several tests were conducted to detect the leakage of nitrogen oxides and volatile organic compounds in different concentrations and volumes, as well as from different leakage distances, to measure the effect of these factors on the response speed and recovery time of the sensors used. These factors were also compared between the different sensors built into the sensor node to give a comprehensive picture of the system used. The system testing results revealed that the SGP41 sensor is capable of implementing the design purposes for the target parameters, can detect a small NO(2) gas leakage starting from 0.3% volume, and can detect all the tested VOC solvents ≥ 100 µL
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spelling pubmed-96543582022-11-15 Evaluating a Novel Gas Sensor for Ambient Monitoring in Automated Life Science Laboratories Al-Okby, Mohammed Faeik Ruzaij Roddelkopf, Thomas Fleischer, Heidi Thurow, Kerstin Sensors (Basel) Article Air pollution and leakages of hazardous and toxic gases and chemicals are among the dangers that frequently occur at automated chemical and life science laboratories. This type of accident needs to be processed as soon as possible to avoid the harmful side effects that can happen when a human is exposed. Nitrogen oxides and volatile organic compounds are among the most prominent indoor air pollutants, which greatly affect the lifestyles in these places. In this study, a commercial MOX gas sensor, SGP41, was embedded in an IoT environmental sensor node for hazardous gas detection and alarm. The sensor can detect several parameters, including nitrogen oxide index (NOx-Index) and volatile organic compound index (VOC-Index). Several tests were conducted to detect the leakage of nitrogen oxides and volatile organic compounds in different concentrations and volumes, as well as from different leakage distances, to measure the effect of these factors on the response speed and recovery time of the sensors used. These factors were also compared between the different sensors built into the sensor node to give a comprehensive picture of the system used. The system testing results revealed that the SGP41 sensor is capable of implementing the design purposes for the target parameters, can detect a small NO(2) gas leakage starting from 0.3% volume, and can detect all the tested VOC solvents ≥ 100 µL MDPI 2022-10-25 /pmc/articles/PMC9654358/ /pubmed/36365859 http://dx.doi.org/10.3390/s22218161 Text en © 2022 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
Al-Okby, Mohammed Faeik Ruzaij
Roddelkopf, Thomas
Fleischer, Heidi
Thurow, Kerstin
Evaluating a Novel Gas Sensor for Ambient Monitoring in Automated Life Science Laboratories
title Evaluating a Novel Gas Sensor for Ambient Monitoring in Automated Life Science Laboratories
title_full Evaluating a Novel Gas Sensor for Ambient Monitoring in Automated Life Science Laboratories
title_fullStr Evaluating a Novel Gas Sensor for Ambient Monitoring in Automated Life Science Laboratories
title_full_unstemmed Evaluating a Novel Gas Sensor for Ambient Monitoring in Automated Life Science Laboratories
title_short Evaluating a Novel Gas Sensor for Ambient Monitoring in Automated Life Science Laboratories
title_sort evaluating a novel gas sensor for ambient monitoring in automated life science laboratories
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9654358/
https://www.ncbi.nlm.nih.gov/pubmed/36365859
http://dx.doi.org/10.3390/s22218161
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