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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| Format: | Article |
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MDPI AG
2017-08-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/17/8/1917 |
| _version_ | 1811302420228079616 |
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| author | Enric Climent Jose Pelegri-Sebastia Tomas Sogorb J. B. Talens Jose Chilo |
| author_facet | Enric Climent Jose Pelegri-Sebastia Tomas Sogorb J. B. Talens Jose Chilo |
| author_sort | Enric Climent |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-04-13T07:28:53Z |
| format | Article |
| id | doaj.art-23b2fd085c6b4e5bb4dfd3b0340b3f52 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T07:28:53Z |
| publishDate | 2017-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-23b2fd085c6b4e5bb4dfd3b0340b3f522022-12-22T02:56:25ZengMDPI AGSensors1424-82202017-08-01178191710.3390/s17081917s17081917Development of the MOOSY4 eNose IoT for Sulphur-Based VOC Water Pollution DetectionEnric Climent0Jose Pelegri-Sebastia1Tomas Sogorb2J. B. Talens3Jose Chilo4Sensors 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, SpainSensors 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, SpainSensors 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, SpainSensors 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, SpainDepartment of Electronics and Physics, University of Gävle, SE-80176 Gävle, SwedenIn 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.https://www.mdpi.com/1424-8220/17/8/1917electronic nosewater qualityembeddedWEKAANNMOOSY4 |
| spellingShingle | Enric Climent Jose Pelegri-Sebastia Tomas Sogorb J. B. Talens Jose Chilo Development of the MOOSY4 eNose IoT for Sulphur-Based VOC Water Pollution Detection Sensors electronic nose water quality embedded WEKA ANN MOOSY4 |
| 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 | electronic nose water quality embedded WEKA ANN MOOSY4 |
| url | https://www.mdpi.com/1424-8220/17/8/1917 |
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