Vitali Čepo D, Karoglan M, Borgese L, Depero L E, Marguí E, Jablan J
Department of Food Chemistry, Faculty of Pharmacy and Biochemistry, University of Zagreb, Domagojeva 2, 10000 Zagreb, Croatia.
Department of Viticulture and Enology, Faculty of Agriculture, University of Zagreb, Svetošimunska cesta 25, 10000 Zagreb, Croatia.
Food Chem X. 2022 Jan 10;13:100209. doi: 10.1016/j.fochx.2022.100209. eCollection 2022 Mar 30.
The contents of selected metals (K, Ca, Fe, Cu, Zn, Mn, Sr, Rb, Ba, Pb, Ni, Cr and V) in 70 wine samples from Continental and Adriatic part of Croatia and different types of wine (red and white) were determined by TXRF. The aim of this study was to compare the elemental composition of wines from two different regions and to determine the discriminant ability of each variable and to indicate which variables discriminate between the four categories considered. Principal component analysis and cluster analysis showed that K, Mn, Ba and Ni can be considered as the most important characteristics to distinguish between Continental red and white wines, Rb, Ni and Ba for Continental red and Adriatic red wines while Sr is the only metal that completely distinguishes the samples of each category. Finally, linear discriminant analysis showed good recognition (100%) and prediction abilities (96.43%) using these selected elements.
采用全反射X射线荧光光谱法(TXRF)测定了来自克罗地亚大陆和亚得里亚海地区的70个葡萄酒样品以及不同类型葡萄酒(红葡萄酒和白葡萄酒)中选定金属(钾、钙、铁、铜、锌、锰、锶、铷、钡、铅、镍、铬和钒)的含量。本研究的目的是比较来自两个不同地区葡萄酒的元素组成,确定每个变量的判别能力,并指出哪些变量能区分所考虑的四类葡萄酒。主成分分析和聚类分析表明,钾、锰、钡和镍可被视为区分大陆地区红葡萄酒和白葡萄酒的最重要特征,铷、镍和钡可区分大陆地区红葡萄酒和亚得里亚海地区红葡萄酒,而锶是唯一能完全区分各类样品的金属。最后,线性判别分析表明,使用这些选定元素具有良好的识别能力(100%)和预测能力(96.43%)。