Development of the MOOSY4 eNose IoT for Sulphur-Based VOC Water Pollution Detection

In this paper, we describe a new low-cost and portable electronic nose instrument, the Multisensory Odor Olfactory System MOOSY4. This prototype is based on only four metal oxide semiconductor (MOS) gas sensors suitable for IoT technology. The system architecture consists of four stages: data acquis...

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Detalles Bibliográficos
Autores principales: Climent, Enric, Pelegri-Sebastia, Jose, Sogorb, Tomas, Talens, J. B., Chilo, Jose
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5580038/
https://www.ncbi.nlm.nih.gov/pubmed/28825645
http://dx.doi.org/10.3390/s17081917
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author Climent, Enric
Pelegri-Sebastia, Jose
Sogorb, Tomas
Talens, J. B.
Chilo, Jose
author_facet Climent, Enric
Pelegri-Sebastia, Jose
Sogorb, Tomas
Talens, J. B.
Chilo, Jose
author_sort Climent, Enric
collection PubMed
description In this paper, we describe a new low-cost and portable electronic nose instrument, the Multisensory Odor Olfactory System MOOSY4. This prototype is based on only four metal oxide semiconductor (MOS) gas sensors suitable for IoT technology. The system architecture consists of four stages: data acquisition, data storage, data processing, and user interfacing. The designed eNose was tested with experiment for detection of volatile components in water pollution, as a dimethyl disulphide or dimethyl diselenide or sulphur. Therefore, the results provide evidence that odor information can be recognized with around 86% efficiency, detecting smells unwanted in the water and improving the quality control in bottled water factories.
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spelling pubmed-55800382017-09-06 Development of the MOOSY4 eNose IoT for Sulphur-Based VOC Water Pollution Detection Climent, Enric Pelegri-Sebastia, Jose Sogorb, Tomas Talens, J. B. Chilo, Jose Sensors (Basel) Article In this paper, we describe a new low-cost and portable electronic nose instrument, the Multisensory Odor Olfactory System MOOSY4. This prototype is based on only four metal oxide semiconductor (MOS) gas sensors suitable for IoT technology. The system architecture consists of four stages: data acquisition, data storage, data processing, and user interfacing. The designed eNose was tested with experiment for detection of volatile components in water pollution, as a dimethyl disulphide or dimethyl diselenide or sulphur. Therefore, the results provide evidence that odor information can be recognized with around 86% efficiency, detecting smells unwanted in the water and improving the quality control in bottled water factories. MDPI 2017-08-20 /pmc/articles/PMC5580038/ /pubmed/28825645 http://dx.doi.org/10.3390/s17081917 Text en © 2017 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
Climent, Enric
Pelegri-Sebastia, Jose
Sogorb, Tomas
Talens, J. B.
Chilo, Jose
Development of the MOOSY4 eNose IoT for Sulphur-Based VOC Water Pollution Detection
title Development of the MOOSY4 eNose IoT for Sulphur-Based VOC Water Pollution Detection
title_full Development of the MOOSY4 eNose IoT for Sulphur-Based VOC Water Pollution Detection
title_fullStr Development of the MOOSY4 eNose IoT for Sulphur-Based VOC Water Pollution Detection
title_full_unstemmed Development of the MOOSY4 eNose IoT for Sulphur-Based VOC Water Pollution Detection
title_short Development of the MOOSY4 eNose IoT for Sulphur-Based VOC Water Pollution Detection
title_sort development of the moosy4 enose iot for sulphur-based voc water pollution detection
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5580038/
https://www.ncbi.nlm.nih.gov/pubmed/28825645
http://dx.doi.org/10.3390/s17081917
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