Artificial neural network employment for element determination in: Mugil cephalus by ICP OES in Pontal Bay, Brazil

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dc.contributor.authorBatista, Milana Aboboreira Simões
dc.contributor.authorSantos, Luana Novaes
dc.contributor.authorChagas, Bruna Cirineu
dc.contributor.authorLôbo, Ivon Pinheiro
dc.contributor.authorNovaes, Cleber Galvão
dc.contributor.authorGuedes, Wesley Nascimento [UNESP]
dc.contributor.authorDe Jesus, Raildo Mota
dc.contributor.authorAmorim, Fábio Alan Carqueija
dc.contributor.authorPacheco, Clissiane Soares Viana
dc.contributor.authorMoreira, Luana Santos
dc.contributor.authorDa Silva, Erik Galvão Paranhos
dc.contributor.institutionUniversidade Estadual de Santa Cruz
dc.contributor.institutionUniversidade Federal da Bahia (UFBA)
dc.contributor.institutionUniversidade Estadual Do Sudoeste da Bahia
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2020-12-12T01:35:19Z
dc.date.available2020-12-12T01:35:19Z
dc.date.issued2020-08-07
dc.description.abstractFish are important sources of protein, making them very significant in the human diet. Although the consumption of this food is beneficial for health, it is essential that the product does not contain inorganic components above the limits recommended by the current legislation. Therefore, a method for determination of elements in fish (Mugil cephalus) samples was optimized. A simplex centroid mixture design with restriction was applied for optimization of the acid digestion of samples in an open system under reflux in order to evaluate the best ratio between the reagents HNO3, H2O2 and H2O. The results indicated that more intense analyte signals were obtained when a mixture containing 3.6 mL of HNO3 (65% v/v), 0.4 mL of H2O2 (30% v/v) and 6.0 mL of H2O was used. The accuracy of the method was assessed with a CRM of oyster tissue (NIST 1566b). The method presented relative standard deviations (RSDs) of 3.54%; 3.82%; 4.81% and 3.50% for Zn, Fe, Cu and S, respectively. The detection limits were 0.002 mg kg-1 for Cu and Zn and 0.02 mg kg-1 for Fe and S. The proposed method was applied for the determination of Zn, Fe, Cu and S in fish samples. A Kohonen Self-Organizing Map (KSOM) with K-means implementation was applied to better delimit the boundary between groups and the spatial and temporal influence on how concentrations of the chemical elements were perceived. To verify the separation, the Davies-Bouldin and Silhouette indices were used, obtaining 0.5374 and 0.8541, respectively, indicating satisfactory separation.en
dc.description.affiliationDepartamento de Ciências Exatas e Tecnológicas Universidade Estadual de Santa Cruz Campus Soane Nazaré de Andrade, Km 16 BR-415
dc.description.affiliationInstituto de Química Universidade Federal da Bahia Campus Universitário de Ondina
dc.description.affiliationDepartamento de Química e Exatas Universidade Estadual Do Sudoeste da Bahia Campus Universitário de Jequié-BA Avenida José Moreira Sobrinho, 677-Jequiezinho
dc.description.affiliationInstitute of Chemistry São Paulo State University (UNESP)
dc.description.affiliationUnespInstitute of Chemistry São Paulo State University (UNESP)
dc.format.extent3713-3721
dc.identifierhttp://dx.doi.org/10.1039/d0ay00799d
dc.identifier.citationAnalytical Methods, v. 12, n. 29, p. 3713-3721, 2020.
dc.identifier.doi10.1039/d0ay00799d
dc.identifier.issn1759-9679
dc.identifier.issn1759-9660
dc.identifier.scopus2-s2.0-85089545331
dc.identifier.urihttp://hdl.handle.net/11449/199273
dc.language.isoeng
dc.relation.ispartofAnalytical Methods
dc.sourceScopus
dc.titleArtificial neural network employment for element determination in: Mugil cephalus by ICP OES in Pontal Bay, Brazilen
dc.typeArtigo

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