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Multi-element signature of cuttlefish and its potential for the discrimination of different geographical provenances and traceability.
Varrà, Maria Olga; Husáková, Lenka; Patocka, Jan; Ghidini, Sergio; Zanardi, Emanuela.
Afiliação
  • Varrà MO; Department of Food and Drug, University of Parma, Parma, Via del Taglio, 10, Parma 43126, Italy. Electronic address: mariaolga.varra@studenti.unipr.it.
  • Husáková L; Department of Analytical Chemistry, Faculty of Chemical Technology, University of Pardubice, Studentská 573 HB/D, Pardubice CZ-532 10, Czech Republic. Electronic address: lenka.husakova@upce.cz.
  • Patocka J; Department of Analytical Chemistry, Faculty of Chemical Technology, University of Pardubice, Studentská 573 HB/D, Pardubice CZ-532 10, Czech Republic. Electronic address: jan.patocka@upce.cz.
  • Ghidini S; Department of Food and Drug, University of Parma, Parma, Via del Taglio, 10, Parma 43126, Italy. Electronic address: sergio.ghidini@unipr.it.
  • Zanardi E; Department of Food and Drug, University of Parma, Parma, Via del Taglio, 10, Parma 43126, Italy. Electronic address: emanuela.zanardi@unipr.it.
Food Chem ; 356: 129687, 2021 Sep 15.
Article em En | MEDLINE | ID: mdl-33836355
The measurement and analysis of fifty-two elements by quadrupole inductively coupled plasma mass spectrometry (Q-ICP-MS) and direct mercury analysis were applied to origin discrimination of Italian traditional cuttlefish (Chioggia, Venice lagoon) from Mediterranean and Atlantic samples. A total 68 specimens were analyzed in triplicates to generate 204 mass spectra profiles which were statistically processed by different chemometric techniques. Loading weights from principal component analysis as input for linear discriminant analysis (LW-LDA), stepwise-LDA (S-LDA) and variable influence of projection-partial least square discriminant analysis (VIP-PLS-DA) were used to classify samples while retaining the lowest possible number of key variables. VIP-PLS-DA was found to be the best variable selection-discriminant tool combo since the selected Na-Co-B-K-Cd-V-U-Rb-Ni-Ba-Cu-As-Sr-Mn-Mo-Li-Ca-Mg-Se-Bi-Cs-P-Y elemental pattern allowed the samples to be classified with 100% sensitivity, specificity and accuracy.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Espectrometria de Massas / Decapodiformes / Oligoelementos Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Espectrometria de Massas / Decapodiformes / Oligoelementos Idioma: En Ano de publicação: 2021 Tipo de documento: Article