An Innovative Multiparametric Sensor Design for Detecting Microplastics and Heavy Metals

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dc.authoridhttps://orcid.org/0000-0003-0411-6134
dc.authoridhttps://orcid.org/0000-0002-5069-6603
dc.contributor.authorDal, Ekrem Kürşad
dc.contributor.authorGüneş, Adem
dc.contributor.authorKılıç, Recai
dc.date.accessioned2025-07-22T13:12:13Z
dc.date.available2025-07-22T13:12:13Z
dc.date.issued2025
dc.departmentKapadokya Üniversitesi
dc.description.abstractMicroplastics and heavy metals are materials that harm the environment and living organisms. Rapid detection enables their control or the identification of their sources. Conventional detection methods are expensive and require expert interpretation. The proposed sensor system detects these materials and evaluates their concentrations using a trainable multilayer perceptron algorithm. The system consists of twenty-two different light spectrum LEDs and eighteen narrow bandwidth photodiodes. The absorbance of incoming light and the shifted bandwidths in the spectrum can be evaluated by assessing multiparametric optical events. The study examines water samples containing eight different heavy metals, namely arsenic (As), cadmium (Cd), chromium (Cr), copper (Cu), mercury (Hg), nickel (Ni), lead (Pb), and zinc (Zn), along with three types of microplastics: melamine particles with a diameter of 8 μm, polystyrene particles with a diameter of 8 μm, and polystyrene particles with a diameter of 10 μm. Classification was performed in a concentration-dependent and concentration-independent manner. The system performance was improved by selecting features using the Ranker method of the InfoGain algorithm. Measurements were performed without applying any indicator chemicals. The system demonstrated high success in concentration-independent evaluation and acceptable concentration accuracy for heavy metals.
dc.description.sponsorshipThe research was supported by the Erciyes University Scientific Research Projects Coordination Unit 317 under Grant No. FDK-2020-970.
dc.identifier.citationDal, E. K., Gunes, A., & Kilic, R. (2025). An Innovative Multiparametric Sensor Design for Detecting Microplastics and Heavy Metals. Elektronika Ir Elektrotechnika, 31(2), 15-31.
dc.identifier.doi10.5755/j02.eie.40069
dc.identifier.endpage31
dc.identifier.issue2
dc.identifier.startpage15
dc.identifier.urihttps://doi.org/10.5755/j02.eie.40069
dc.identifier.urihttps://hdl.handle.net/20.500.12695/3665
dc.identifier.volume31
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.institutionauthorDAL, Ekrem
dc.institutionauthoridhttps://orcid.org/0000-0002-5796-0091
dc.language.isoen
dc.publisherKaunas University of Technology
dc.relation.ispartofELEKTRONIKA IR ELEKTROTECHNIKA
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.titleAn Innovative Multiparametric Sensor Design for Detecting Microplastics and Heavy Metals
dc.typeArticle

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