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Multivariate classification of wines from different Bohemian regions (Czech Republic)

机译:来自不同波希米亚地区(捷克共和国)的葡萄酒的多元分类

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摘要

Fifty-three samples of wines were analysed by inductively coupled plasma mass spectrometry and inductively coupled plasma optical emission spectrometry. The contents of 27 parameters were determined: Al, As, Ba, Ca, Ce, Co, Cr, Cs, Cu, Fe, K, Li, Mg, Mn, Mo, Na, Ni, Pb, Rb, Sb, Sn, Sr, Th, U, V, Y and Zn. The best results for identification of sample origin were achieved when determining the following parameters: the contents of Al, Ba, Ca, Co, K, Li, Mg, Mn, Mo, Rb, Sr, V and element ratios Sr/Ba, Sr/Ca, Sr/Mg. With these parameters, a 97.4% correct classification was achieved for white wines and a 100% correct classification for red wines.
机译:通过电感耦合等离子体质谱法和电感耦合等离子体光发射光谱法分析了53个葡萄酒样品。确定了27个参数的含量:Al,As,Ba,Ca,Ce,Co,Cr,Cs,Cu,Fe,K,Li,Mg,Mn,Mo,Na,Ni,Pb,Rb,Sb,Sn, Sr,Th,U,V,Y和Zn。确定以下参数可获得最佳的样品来源鉴定结果:Al,Ba,Ca,Co,K,Li,Mg,Mn,Mo,Rb,Sr,V的含量以及元素比Sr / Ba,Sr / Ca,Sr / Mg。通过这些参数,白葡萄酒的正确分类率为97.4%,红葡萄酒的正确分类率为100%。

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