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Processing Fluorescence Spectra for Pollutants Detection Systems in Inland Waters

dc.contributor.authorArques-Orobon, F. Jose
dc.contributor.authorPrieto Castrillo, Francisco
dc.contributor.authorNuñez, Neftalí
dc.contributor.authorGonzalez-Posadas, Vicente
dc.date.accessioned2025-01-20T08:05:09Z
dc.date.available2025-01-20T08:05:09Z
dc.date.issued2020
dc.identifier.citationSensors, 20(11) (2020); doi:10.3390/s20113102
dc.identifier.urihttps://hdl.handle.net/10651/76270
dc.description.abstractDevelopment of contaminant detection systems in various natural and industrial environments has been favored in recent years thanks to the evolution of processors and sensors. Our group works specifically on contaminant detection systems in inland waters: immediate and continuous detection is a fundamental requirement in this type of sensing. Regarding the sensors, the proposed system is based on fluorescence, since it o↵ers a method in which there is no contact with water, which means less wear on the components and a great saving in cleaning and maintenance. On the other hand, the spectrum processing is of great importance, since it is used both in the generation of a library of fluorescence spectra taken in the laboratory and in the continuous analysis of the samples and in the comparison algorithm for identification. The validity of the system is based on the last process that is carried out in a very short time. This article describes a system to process spectra in a more accelerated way.spa
dc.language.isoengspa
dc.relation.ispartofSensorsspa
dc.rights© 2020 by the authors
dc.rightsCC Reconocimiento 4.0 Internacional
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectsensors; fluorescence; fluoro-sensing; spectroscopy; water pollutantsspa
dc.titleProcessing Fluorescence Spectra for Pollutants Detection Systems in Inland Watersspa
dc.typejournal articlespa
dc.identifier.doi10.3390/s20113102
dc.relation.publisherversionhttps://doi.org/10.3390/s20113102
dc.rights.accessRightsopen accessspa
dc.type.hasVersionVoRspa


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