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Sensors 2017, 17(8), 1917; https://doi.org/10.3390/s17081917

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

1
Sensors and Magnetism Group, Institut de Recerca per a la Gestió Integrada de Zones Costaneres, Campus de Gandia, Universitat Politècnica de València, 46730 Grao de Gandia, Spain
2
Department of Electronics and Physics, University of Gävle, SE-80176 Gävle, Sweden
*
Author to whom correspondence should be addressed.
Received: 8 July 2017 / Revised: 18 August 2017 / Accepted: 18 August 2017 / Published: 20 August 2017
(This article belongs to the Special Issue Electronic Tongues and Electronic Noses)
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Abstract

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. View Full-Text
Keywords: electronic nose; water quality; embedded; WEKA; ANN; MOOSY4 electronic nose; water quality; embedded; WEKA; ANN; MOOSY4
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Climent, E.; Pelegri-Sebastia, J.; Sogorb, T.; Talens, J.B.; Chilo, J. Development of the MOOSY4 eNose IoT for Sulphur-Based VOC Water Pollution Detection. Sensors 2017, 17, 1917.

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