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用于帕奇诺受保护地理标志(PGI)樱桃番茄可追溯性的多元素和化学计量分析。

Multielement and chemometric analysis for the traceability of the Pachino Protected Geographical Indication (PGI) cherry tomatoes.

作者信息

Giorgia Potortì Angela, Francesco Mottese Antonio, Rita Fede Maria, Sabatino Giuseppe, Dugo Giacomo, Lo Turco Vincenzo, Costa Rosaria, Caridi Francesco, Di Bella Marcella, Di Bella Giuseppa

机构信息

Department of Biomedical, Dental, Morphological and Functional Imaging Sciences, University of Messina, Viale Annunziata, 98168 Messina, Italy.

Department of Mathematics and Informatics, Physics and Earth Sciences (MIFT), University of Messina, Viale F. Stagno d'Alcontres 31, 98166 Messina, Italy.

出版信息

Food Chem. 2022 Aug 30;386:132746. doi: 10.1016/j.foodchem.2022.132746. Epub 2022 Mar 22.

DOI:10.1016/j.foodchem.2022.132746
PMID:35334318
Abstract

To prevent PGI (Protected Geographical Indication) cherry tomato of Pachino (Sicily, Italy) from frauds, an alternative method, which includes chemometric treatments, was proposed. The content of 32 inorganic elements (macro-micronutrients and lanthanides) present in 16 PGI and 24 not PGI cherry tomato samples cv Naomy, and in 16 PGI and 8 not PGI soil samples, was determined by Inductively Coupled Plasma - Mass Spectrometer (ICP-MS). To identify the elements able to differentiate PGI and not PGI cherry tomato samples, Principal Components Analysis (PCA) and Canonical discriminant analysis (CDA) were performed. The first two principal components (PC1-PC2) explain a total variance of 71,41% between PGI and not PGI group, whereas CDA showed Zn, Cd, Mn and Ca as inorganic markers able to correctly classify the 100% of samples. Furthermore, with a translocation factor (K), evaluated in soil/plant chain, the comparison of absorption trends for PGI and not PGI samples was realized.

摘要

为防止意大利西西里岛帕奇诺的受保护地理标志(PGI)樱桃番茄遭受欺诈,提出了一种包括化学计量学处理的替代方法。采用电感耦合等离子体质谱仪(ICP-MS)测定了16个PGI和24个非PGI娜奥美品种樱桃番茄样品以及16个PGI和8个非PGI土壤样品中32种无机元素(大量元素、微量元素和镧系元素)的含量。为了确定能够区分PGI和非PGI樱桃番茄样品的元素,进行了主成分分析(PCA)和典型判别分析(CDA)。前两个主成分(PC1-PC2)解释了PGI组和非PGI组之间71.41%的总方差,而CDA显示锌、镉、锰和钙作为无机标志物能够正确分类100%的样品。此外,通过在土壤/植物链中评估的转运因子(K),实现了PGI和非PGI样品吸收趋势的比较。

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