Evaluating of IAQ-Index and TVOC Parameter-Based Sensors for Hazardous Gases Detection and Alarming Systems.

alarming system gas sensors hazardous gases indoor air quality index (IAQ-index) internet of things (IoT) total volatile organic materials (TVOCs)

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
14 Feb 2022
Historique:
received: 13 01 2022
revised: 04 02 2022
accepted: 11 02 2022
entrez: 26 2 2022
pubmed: 27 2 2022
medline: 3 3 2022
Statut: epublish

Résumé

The measurement of air quality parameters for indoor environments is of increasing importance to provide sufficient safety conditions for workers, especially in places including dangerous chemicals and materials such as laboratories, factories, and industrial locations. Indoor air quality index (IAQ-index) and total volatile organic Compounds (TVOC) are two important parameters to measure air impurities or air pollution. Both parameters are widely used in gases sensing applications. In this paper, the IAQ-index and TVOCs have been investigated to identify the best and most flexible solution for air quality threshold selection of hazardous/toxic gases detection and alarming systems. The TVOCs from the SGP30 gas sensor and the IAQ-index from the SGP40 gas sensor were tested with 12 different organic solvents. The two gas sensors are combined with an IoT-based microcontroller for data acquisition and data transfer to an IoT-cloud for further processing, storing, and monitoring purposes. Extensive tests of both sensors were carried out to determine the minimum detectable volume depending on the distance between the sensor node and the leakage source. The test scenarios included static tests in a classical chemical hood, as well as tests with a mobile robot in an automated sample preparation laboratory with different positions.

Identifiants

pubmed: 35214376
pii: s22041473
doi: 10.3390/s22041473
pmc: PMC8876806
pii:
doi:

Substances chimiques

Air Pollutants 0
Gases 0
Volatile Organic Compounds 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : European Research Council
ID : 856405
Pays : International

Références

Sensors (Basel). 2021 Nov 04;21(21):
pubmed: 34770653
Sensors (Basel). 2019 Jan 24;19(3):
pubmed: 30682827
Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2007 Jul;50(7):990-1005
pubmed: 17585378
Sensors (Basel). 2019 Apr 26;19(9):
pubmed: 31027330
Sensors (Basel). 2021 Sep 16;21(18):
pubmed: 34577435
Sensors (Basel). 2021 Dec 04;21(23):
pubmed: 34884132
Sensors (Basel). 2020 Dec 01;20(23):
pubmed: 33271862

Auteurs

Mohammed Faeik Ruzaij Al-Okby (MFR)

Technical Institute of Babylon, Al-Furat Al-Awsat Technical University (ATU), Kufa 54003, Iraq.
Center for Life Science Automation (Celisca), University of Rostock, 18119 Rostock, Germany.

Sebastian Neubert (S)

Leibniz Institute for Baltic Sea Research Warnemünde, 18119 Rostock, Germany.

Thomas Roddelkopf (T)

Institute of Automation, University of Rostock, 18119 Rostock, Germany.

Heidi Fleischer (H)

Institute of Automation, University of Rostock, 18119 Rostock, Germany.

Kerstin Thurow (K)

Center for Life Science Automation (Celisca), University of Rostock, 18119 Rostock, Germany.

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Classifications MeSH