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- Title
Development of the MOOSY4 eNose IoT for Sulphur-Based VOC Water Pollution Detection.
- Authors
Climent, Enric; Pelegri-Sebastia, Jose; Sogorb, Tomas; Talens, J. B.; Chilo, Jose
- 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.
- Subjects
WATER pollution; SULFUR concrete; PERCEPTUAL motor learning; DIMETHYL sulfide; METAL oxide semiconductors
- Publication
Sensors (14248220), 2017, Vol 17, Issue 8, p1917
- ISSN
1424-8220
- Publication type
Article
- DOI
10.3390/s17081917