Department of Food and Drug, University of Parma, Parma, Via del Taglio, 10, Parma 43126, Italy.
Department of Analytical Chemistry, Faculty of Chemical Technology, University of Pardubice, Studentská 573 HB/D, Pardubice CZ-532 10, Czech Republic.
Food Chem. 2021 Sep 15;356:129687. doi: 10.1016/j.foodchem.2021.129687. Epub 2021 Mar 26.
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.
五十二种元素的测量和分析采用四极电感耦合等离子体质谱（Q-ICP-MS）和直接测汞法，用于区分来自意大利威尼斯泻湖的 Chioggia 传统乌贼与来自地中海和大西洋的样本。对总共 68 个样本进行了三次重复分析，生成了 204 个质谱谱图，这些谱图通过不同的化学计量学技术进行了统计处理。主成分分析的载荷权重作为线性判别分析（LW-LDA）、逐步判别分析（S-LDA）和投影偏最小二乘判别分析（VIP-PLS-DA）的输入，用于对样本进行分类，同时保留尽可能少的关键变量。VIP-PLS-DA 被发现是最佳的变量选择-判别工具组合，因为所选的 Na-Co-B-K-Cd-V-U-Rb-Ni-Ba-Cu-As-Sr-Mn-Mo-Li-Ca-Mg-Se-Bi-Cs-P-Y 元素模式使得样本能够以 100%的灵敏度、特异性和准确性进行分类。
