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

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual de Santa Cruz-
Autor(es): dc.contributorUniversidade Federal da Bahia (UFBA)-
Autor(es): dc.contributorUniversidade Estadual Do Sudoeste da Bahia-
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.creatorBatista, Milana Aboboreira Simões-
Autor(es): dc.creatorSantos, Luana Novaes-
Autor(es): dc.creatorChagas, Bruna Cirineu-
Autor(es): dc.creatorLôbo, Ivon Pinheiro-
Autor(es): dc.creatorNovaes, Cleber Galvão-
Autor(es): dc.creatorGuedes, Wesley Nascimento [UNESP]-
Autor(es): dc.creatorDe Jesus, Raildo Mota-
Autor(es): dc.creatorAmorim, Fábio Alan Carqueija-
Autor(es): dc.creatorPacheco, Clissiane Soares Viana-
Autor(es): dc.creatorMoreira, Luana Santos-
Autor(es): dc.creatorDa Silva, Erik Galvão Paranhos-
Data de aceite: dc.date.accessioned2022-02-22T00:26:55Z-
Data de disponibilização: dc.date.available2022-02-22T00:26:55Z-
Data de envio: dc.date.issued2020-12-11-
Data de envio: dc.date.issued2020-12-11-
Data de envio: dc.date.issued2020-08-07-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1039/d0ay00799d-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/199273-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/199273-
Descrição: dc.descriptionFish 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.-
Descrição: dc.descriptionDepartamento de Ciências Exatas e Tecnológicas Universidade Estadual de Santa Cruz Campus Soane Nazaré de Andrade, Km 16 BR-415-
Descrição: dc.descriptionInstituto de Química Universidade Federal da Bahia Campus Universitário de Ondina-
Descrição: dc.descriptionDepartamento de Química e Exatas Universidade Estadual Do Sudoeste da Bahia Campus Universitário de Jequié-BA Avenida José Moreira Sobrinho, 677-Jequiezinho-
Descrição: dc.descriptionInstitute of Chemistry São Paulo State University (UNESP)-
Descrição: dc.descriptionInstitute of Chemistry São Paulo State University (UNESP)-
Formato: dc.format3713-3721-
Idioma: dc.languageen-
Relação: dc.relationAnalytical Methods-
???dc.source???: dc.sourceScopus-
Título: dc.titleArtificial neural network employment for element determination in: Mugil cephalus by ICP OES in Pontal Bay, Brazil-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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