Autor(es): Viana Pacheco, Clissiane Soares ; Costa, Floriatan Santos ; Guedes, Wesley Nascimento [UNESP] ; Jesus, Marina Santos de ; das Chagas, Thiago Pereira ; Pinto dos Santos, Ana Maria ; Lima, Daniel de Castro ; Paranhos da Silva, Erik Galvao
Data: 2021
Identificador Persistente: http://hdl.handle.net/11449/209115
Origem: Oasisbr
Assunto(s): Mugil cephalus; Mixture design; Kohonen self-organizing map; MIP OES
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Fundacao de Amparo a Pesquisa do Estado da Bahia (FAPESB)
Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
In this study, the concentrations of macro- and microelement in different tissues (liver, gill, and muscle) of fish collected (Mugil cephalus) in Pontal Bay (Ilheus, Bahia) were determined. A simplex-centroid mixture design was used to obtain the mixture applied to the decomposition of the samples. The elementary determination was made by microwave-induced plasma optical emission spectrometry (MIP OES), and the Kohonen self-organizing map (KSOM) was applied as an exploratory analysis tool. The accuracy of the procedure was assessed using certified reference material. Recoveries were obtained in the range of 99-103% and without a statistical difference (95% confidence level). Precision was estimated from the relative standard deviation, which ranged from 0.3 to 2.2%, and the limits of detection (mg kg(-1)) were 0.145 (Cu), 1.53 (Fe), 1.61 (K), 0.250 (Mg), 0.040 (Mn), 4.84 (P), and 2.12 (Zn). The KSOM provided efficient and precise separation of the studied tissues into three groups. The concentrations of Cu, Fe, and Zn were higher in the liver, while in the gills, they were the Mn.
Univ Fed Bahia, Inst Chem, BR-40170290 Salvador, BA, Brazil
Univ Fed Parana, Dept Chem, BR-81530900 Curitiba, Parana, Brazil
Univ Estadual Paulista, Inst Chem, BR-14800060 Araraquara, SP, Brazil
Univ Estadual Santa Cruz, Dept Exact & Technol Sci, BR-45662900 Ilheus, BA, Brazil
Univ Estadual Paulista, Inst Chem, BR-14800060 Araraquara, SP, Brazil
CNPq: 306698/2019-6
CNPq: 421694/2018-1
CAPES: 001
