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

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

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dc.contributor.author Climent-Martí, Enric es_ES
dc.contributor.author Pelegrí Sebastiá, José es_ES
dc.contributor.author Sogorb Devesa, Tomás es_ES
dc.contributor.author Talens-Felis, Juan-Bta es_ES
dc.contributor.author Chilo, José es_ES
dc.date.accessioned 2018-03-05T05:10:06Z
dc.date.available 2018-03-05T05:10:06Z
dc.date.issued 2017 es_ES
dc.identifier.uri http://hdl.handle.net/10251/98785
dc.description.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. es_ES
dc.description.sponsorship This work was supported by the I+D+i Program of the Generalitat Valenciana, Spain [AICO/2016/046], and the II Program UPV-La Fe [2013/0504]. en_EN
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation.ispartof Sensors es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject ANN es_ES
dc.subject MOOSY4 es_ES
dc.subject WEKA es_ES
dc.subject Electronic nose es_ES
dc.subject Embedded es_ES
dc.subject Water quality es_ES
dc.subject.classification TECNOLOGIA ELECTRONICA es_ES
dc.title Development of the MOOSY4 eNose IoT for Sulphur-Based VOC Water Pollution Detection es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/s17081917 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GVA//AICO%2F2016%2F046/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto de Investigación para la Gestión Integral de Zonas Costeras - Institut d'Investigació per a la Gestió Integral de Zones Costaneres es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica es_ES
dc.description.bibliographicCitation Climent-Martí, E.; Pelegrí Sebastiá, J.; Sogorb Devesa, T.; Talens-Felis, J.; Chilo, J. (2017). Development of the MOOSY4 eNose IoT for Sulphur-Based VOC Water Pollution Detection. Sensors. 17(8):1-10. https://doi.org/10.3390/s17081917 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/s17081917 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 10 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 17 es_ES
dc.description.issue 8 es_ES
dc.identifier.eissn 1424-8220 es_ES
dc.identifier.pmid 28825645 en_EN
dc.identifier.pmcid PMC5580038 en_EN
dc.relation.pasarela S\342240 es_ES
dc.contributor.funder Generalitat Valenciana es_ES
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