Csomós Elemér, Héberger Károly, Simon-Sarkadi Livia
Department of Biochemistry and Food Technology, Budapest University of Technology and Economics, P.O. Box 91, Hungary.
J Agric Food Chem. 2002 Jun 19;50(13):3768-74. doi: 10.1021/jf011699a.
Biogenic amines, polyphenols, and resveratrol were analyzed quantitatively in 25 different Hungarian wines from the same wine-making region, harvest of 1998. Polyphenols were determined according to a spectrophotometric method, whereas other substrates were analyzed using overpressured-layer chromatography (OPLC). Principal component analyses (PCA) were performed on data matrices consisting of substrates (columns) and different sorts of wines (rows) from the region of Pécs (southern Hungary). It was found that four (unrotated) principal components account for >80% of the total variance in the data. The plots of component loadings showed significant groupings for concentrations of biogenic amines (and polyphenols). Similarly, the component scores grouped according to the different sorts of wines. The loading plots reveal that there is no need to measure all of the variables to achieve the same characterization. It is enough to measure one variable per group. Naturally, this conclusion is valid only within the limits of the present study; wines from other regions may behave differently.
对来自匈牙利同一酿酒地区、1998年收获的25种不同葡萄酒中的生物胺、多酚和白藜芦醇进行了定量分析。多酚采用分光光度法测定，而其他底物则使用超压薄层色谱法（OPLC）进行分析。对由匈牙利南部佩奇地区的底物（列）和不同种类葡萄酒（行）组成的数据矩阵进行主成分分析（PCA）。结果发现，四个（未旋转的）主成分占数据总方差的80%以上。成分载荷图显示生物胺（和多酚）浓度有显著分组。同样，成分得分根据不同种类的葡萄酒进行分组。载荷图表明，无需测量所有变量即可实现相同的表征。每组测量一个变量就足够了。当然，这一结论仅在本研究范围内有效；其他地区的葡萄酒可能表现不同。
