Potortί Angela Giorgia, Lo Turco Vincenzo, Saitta Marcello, Bua Giuseppe Daniel, Tropea Alessia, Dugo Giacomo, Di Bella Giuseppa
a Dipartimento di Scienze Biomediche, Odontoiatriche e delle Immagini Morfologiche e Funzionali (BIOMORF) , Università di Messina , Messina , Italy.
Nat Prod Res. 2017 May;31(9):1000-1005. doi: 10.1080/14786419.2016.1261341. Epub 2016 Nov 21.
Chemometric analysis are used for food authenticity evaluation, correlating botanical and geographical origins with food chemical composition. This research was carried out in order to prove that it is possible linked red wines to Nero d'Avola and Syrah cultivars of Vitis vinifera according to their mineral content, while the values of the physical and chemical parameters do not affect relevantly this discrimination. The levels of mineral elements were determined by ICP-OES and ICP-MS. Samples from cv Nero d'Avola had the highest content of Zn, Cr, Ni, As and Cd, whereas the highest mineral concentration in cv Syrah samples was represented by K, Mg, Cu, and Sb. The research highlights that it is possible linked red wines to Nero d'Avola and Syrah cultivars of V. vinifera according to their mineral contents, adding knowledge to the determination studies of the wine botanical origin.
化学计量分析用于食品真实性评估,将植物和地理来源与食品化学成分相关联。开展这项研究是为了证明,根据红葡萄酒的矿物质含量,可以将其与酿酒葡萄品种黑达沃拉(Nero d'Avola)和西拉(Syrah)联系起来,而物理和化学参数的值对这种区分没有显著影响。通过电感耦合等离子体发射光谱法(ICP-OES)和电感耦合等离子体质谱法(ICP-MS)测定矿物质元素水平。黑达沃拉品种的样品中锌、铬、镍、砷和镉的含量最高,而西拉品种样品中矿物质浓度最高的是钾、镁、铜和锑。该研究强调,根据矿物质含量,可以将红葡萄酒与酿酒葡萄品种黑达沃拉和西拉联系起来,为葡萄酒植物来源的测定研究增添了知识。