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Flexible IoT Gas Sensor Node for Automated Life Science Environments Using Stationary and Mobile Robots

In recent years the degree of automation in life science laboratories increased considerably by introducing stationary and mobile robots. This trend requires intensified considerations of the occupational safety for cooperating humans, since the robots operate with low volatile compounds that partia...

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Autores principales: Neubert, Sebastian, Roddelkopf, Thomas, Al-Okby, Mohammed Faeik Ruzaij, Junginger, Steffen, Thurow, Kerstin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8587426/
https://www.ncbi.nlm.nih.gov/pubmed/34770653
http://dx.doi.org/10.3390/s21217347
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author Neubert, Sebastian
Roddelkopf, Thomas
Al-Okby, Mohammed Faeik Ruzaij
Junginger, Steffen
Thurow, Kerstin
author_facet Neubert, Sebastian
Roddelkopf, Thomas
Al-Okby, Mohammed Faeik Ruzaij
Junginger, Steffen
Thurow, Kerstin
author_sort Neubert, Sebastian
collection PubMed
description In recent years the degree of automation in life science laboratories increased considerably by introducing stationary and mobile robots. This trend requires intensified considerations of the occupational safety for cooperating humans, since the robots operate with low volatile compounds that partially emit hazardous vapors, which especially do arise if accidents or leakages occur. For the fast detection of such or similar situations a modular IoT-sensor node was developed. The sensor node consists of four hardware layers, which can be configured individually regarding basic functionality and measured parameters for varying application focuses. In this paper the sensor node is equipped with two gas sensors (BME688, SGP30) for a continuous TVOC measurement. In investigations under controlled laboratory conditions the general sensors’ behavior regarding different VOCs and varying installation conditions are performed. In practical investigations the sensor node’s integration into simple laboratory applications using stationary and mobile robots is shown and examined. The investigation results show that the selected sensors are suitable for the early detection of solvent vapors in life science laboratories. The sensor response and thus the system’s applicability depends on the used compounds, the distance between sensor node and vapor source as well as the speed of the automation systems.
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spelling pubmed-85874262021-11-13 Flexible IoT Gas Sensor Node for Automated Life Science Environments Using Stationary and Mobile Robots Neubert, Sebastian Roddelkopf, Thomas Al-Okby, Mohammed Faeik Ruzaij Junginger, Steffen Thurow, Kerstin Sensors (Basel) Article In recent years the degree of automation in life science laboratories increased considerably by introducing stationary and mobile robots. This trend requires intensified considerations of the occupational safety for cooperating humans, since the robots operate with low volatile compounds that partially emit hazardous vapors, which especially do arise if accidents or leakages occur. For the fast detection of such or similar situations a modular IoT-sensor node was developed. The sensor node consists of four hardware layers, which can be configured individually regarding basic functionality and measured parameters for varying application focuses. In this paper the sensor node is equipped with two gas sensors (BME688, SGP30) for a continuous TVOC measurement. In investigations under controlled laboratory conditions the general sensors’ behavior regarding different VOCs and varying installation conditions are performed. In practical investigations the sensor node’s integration into simple laboratory applications using stationary and mobile robots is shown and examined. The investigation results show that the selected sensors are suitable for the early detection of solvent vapors in life science laboratories. The sensor response and thus the system’s applicability depends on the used compounds, the distance between sensor node and vapor source as well as the speed of the automation systems. MDPI 2021-11-04 /pmc/articles/PMC8587426/ /pubmed/34770653 http://dx.doi.org/10.3390/s21217347 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
Neubert, Sebastian
Roddelkopf, Thomas
Al-Okby, Mohammed Faeik Ruzaij
Junginger, Steffen
Thurow, Kerstin
Flexible IoT Gas Sensor Node for Automated Life Science Environments Using Stationary and Mobile Robots
title Flexible IoT Gas Sensor Node for Automated Life Science Environments Using Stationary and Mobile Robots
title_full Flexible IoT Gas Sensor Node for Automated Life Science Environments Using Stationary and Mobile Robots
title_fullStr Flexible IoT Gas Sensor Node for Automated Life Science Environments Using Stationary and Mobile Robots
title_full_unstemmed Flexible IoT Gas Sensor Node for Automated Life Science Environments Using Stationary and Mobile Robots
title_short Flexible IoT Gas Sensor Node for Automated Life Science Environments Using Stationary and Mobile Robots
title_sort flexible iot gas sensor node for automated life science environments using stationary and mobile robots
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8587426/
https://www.ncbi.nlm.nih.gov/pubmed/34770653
http://dx.doi.org/10.3390/s21217347
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