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Development of the MOOSY4 eNose IoT for Sulphur-Based VOC Water Pollution Detection.
Sensors and Magnetism Group, Institut de Recerca per a la Gestió Integrada de Zones Costaneres, Campus de Gandia, Universitat Politècnica de València, Grao de Gandia, Spain.
Sensors and Magnetism Group, Institut de Recerca per a la Gestió Integrada de Zones Costaneres, Campus de Gandia, Universitat Politècnica de València, Grao de Gandia, Spain.ORCID iD: 0000-0002-7392-3178
Sensors and Magnetism Group, Institut de Recerca per a la Gestió Integrada de Zones Costaneres, Campus de Gandia, Universitat Politècnica de València, Grao de Gandia, Spain.
Sensors and Magnetism Group, Institut de Recerca per a la Gestió Integrada de Zones Costaneres, Campus de Gandia, Universitat Politècnica de València, Grao de Gandia, Spain.ORCID iD: 0000-0003-2564-2088
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2017 (English)In: Sensors, ISSN 1424-8220, E-ISSN 1424-8220, Vol. 17, no 8, E1917Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
2017. Vol. 17, no 8, E1917
Keyword [en]
ANN, MOOSY4, WEKA, electronic nose, embedded, water quality
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:hig:diva-25107DOI: 10.3390/s17081917PubMedID: 28825645Scopus ID: 2-s2.0-85028068549OAI: oai:DiVA.org:hig-25107DiVA: diva2:1136158
Available from: 2017-08-25 Created: 2017-08-25 Last updated: 2017-09-20Bibliographically approved

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