Jos A, Moreno I, González A G, Repetto G, Cameán A M
Area de Toxicologia, Facultad de Farmacia, Departamento de Bioquimica, Bromatologia, Toxicologia and Medicina Legal, Universidad de Seville, C/Profesor Garcia González No. 2, 41012 Sevilla, Spain.
Talanta. 2004 May 28;63(2):377-82. doi: 10.1016/j.talanta.2003.11.015.
The metal content of a number of sparkling wines was determined by atomic spectrometry techniques. Al, Ba, Ca, Cu, Fe, K, Mg, Mn, Na, P, Sr and Zn by using inductively coupled plasma atomic emission spectrometry (ICP-AES); Cd, Ni and Pb by graphite furnace atomic absorption spectrometry (GFAAS) and As from hydride generation AAS (HGAAS). Two kinds of sparkling wines were studied with D.O. trademark: cava and champagne. 18 samples of "brut" cava and 17 samples of "brut" champagne of different brands were analyzed following the procedure described in the paper. By using the metal concentrations as chemical descriptors the two classes of samples (cava and champagne) are perfectly discriminated, when applying pattern supervised learning recognition techniques such as linear discriminant analysis (LDA) and soft independent modeling of class analogie (SIMCA). The number of false positives and negatives were zero, which indicates a remarkable authentication power of the descriptors used.
采用原子光谱技术测定了多种起泡酒的金属含量。通过电感耦合等离子体原子发射光谱法（ICP - AES）测定铝（Al）、钡（Ba）、钙（Ca）、铜（Cu）、铁（Fe）、钾（K）、镁（Mg）、锰（Mn）、钠（Na）、磷（P）、锶（Sr）和锌（Zn）；通过石墨炉原子吸收光谱法（GFAAS）测定镉（Cd）、镍（Ni）和铅（Pb），通过氢化物发生原子吸收光谱法（HGAAS）测定砷（As）。研究了两种带有D.O.商标的起泡酒：卡瓦酒和香槟酒。按照本文所述程序，对18个不同品牌的“天然型”卡瓦酒样品和17个不同品牌的“天然型”香槟酒样品进行了分析。当应用模式监督学习识别技术，如线性判别分析（LDA）和类类比软独立建模（SIMCA）时，以金属浓度作为化学描述符，能够完美地区分这两类样品（卡瓦酒和香槟酒）。误报和漏报的数量均为零，这表明所使用的描述符具有显著的鉴别能力。
