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Application of Mixture Design and Kohonen Neural Network for Determination of Macro- and Microelement in Mullet (Mugil cephalus) by MIP OES

dc.contributor.authorViana Pacheco, Clissiane Soares
dc.contributor.authorCosta, Floriatan Santos
dc.contributor.authorGuedes, Wesley Nascimento [UNESP]
dc.contributor.authorJesus, Marina Santos de
dc.contributor.authordas Chagas, Thiago Pereira
dc.contributor.authorPinto dos Santos, Ana Maria
dc.contributor.authorLima, Daniel de Castro
dc.contributor.authorParanhos da Silva, Erik Galvao
dc.contributor.institutionUniversidade Federal da Bahia (UFBA)
dc.contributor.institutionUniv Fed Parana
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniv Estadual Santa Cruz
dc.date.accessioned2021-06-25T11:49:04Z
dc.date.available2021-06-25T11:49:04Z
dc.date.issued2021-01-19
dc.description.abstractIn 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.en
dc.description.affiliationUniv Fed Bahia, Inst Chem, BR-40170290 Salvador, BA, Brazil
dc.description.affiliationUniv Fed Parana, Dept Chem, BR-81530900 Curitiba, Parana, Brazil
dc.description.affiliationUniv Estadual Paulista, Inst Chem, BR-14800060 Araraquara, SP, Brazil
dc.description.affiliationUniv Estadual Santa Cruz, Dept Exact & Technol Sci, BR-45662900 Ilheus, BA, Brazil
dc.description.affiliationUnespUniv Estadual Paulista, Inst Chem, BR-14800060 Araraquara, SP, Brazil
dc.description.sponsorshipFundacao de Amparo a Pesquisa do Estado da Bahia (FAPESB)
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.description.sponsorshipIdCNPq: 306698/2019-6
dc.description.sponsorshipIdCNPq: 421694/2018-1
dc.description.sponsorshipIdCAPES: 001
dc.format.extent11
dc.identifierhttp://dx.doi.org/10.1007/s12161-021-01969-7
dc.identifier.citationFood Analytical Methods. New York: Springer, 11 p., 2021.
dc.identifier.doi10.1007/s12161-021-01969-7
dc.identifier.issn1936-9751
dc.identifier.urihttp://hdl.handle.net/11449/209115
dc.identifier.wosWOS:000608942200001
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofFood Analytical Methods
dc.sourceWeb of Science
dc.subjectMugil cephalus
dc.subjectMixture design
dc.subjectKohonen self-organizing map
dc.subjectMIP OES
dc.titleApplication of Mixture Design and Kohonen Neural Network for Determination of Macro- and Microelement in Mullet (Mugil cephalus) by MIP OESen
dc.typeArtigopt
dcterms.licensehttp://www.springer.com/open+access/authors+rights?SGWID=0-176704-12-683201-0
dcterms.rightsHolderSpringer
dspace.entity.typePublication
unesp.author.orcid0000-0001-7766-2860[2]
unesp.author.orcid0000-0002-8027-7258[8]
unesp.campusUniversidade Estadual Paulista (UNESP), Instituto de Química, Araraquarapt

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