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Multi-element signature of cuttlefish and its potential for the discrimination of different geographical provenances and traceability
Authors: Varra Maria Olga | Husáková Lenka | Patočka Jan | Ghidini Sergio | Zanardi Emanuela
Year: 2021
Type of publication: článek v odborném periodiku
Name of source: Food Chemistry
Publisher name: Elsevier Science
Place: Oxford
Page from-to: 129687
Titles:
Language Name Abstract Keywords
cze Možnosti využití multi-prvkového profilu pro určení geografického původu hlavonožců Metodou hmotnostní spektrometrie s ionizací v indukčně vázaném plazmatu a kvadrupólovým analyzátorem iontů (Q-ICP-MS) byl v 68 vzorcích hlavonožců stanoven multi-prvkový profil, který byl společně s nástroji vícerozměrné analýzy dat (LW-LDA, S-LDA, VIP-PLS-DA) využit k rozlišení geografického původu vzorků ze Středozemního moře a Atlantiku. Aplikací metody VIP-PLS-DA, v kombinací s vhodnými prediktory, bylo dosaženo klasifikace vzorků se 100% senzitivitou, specificitou a přesností. ICP-MS; Stanovení prvkového profilu; Mořské plody; Geografický původ; Analýza dat
eng Multi-element signature of cuttlefish and its potential for the discrimination of different geographical provenances and traceability 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. ICP-MS; Element profiling; Fishery products; Geographical origin; Chemometrics

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