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Principal component analysis of biogenic amines and polyphenols in Hungarian wines

机译:匈牙利葡萄酒中生物胺和多酚的主成分分析

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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 Pecs (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. [References: 22]
机译:在1998年收获的同一酿酒地区的25种不同的匈牙利葡萄酒中,对生物胺,多酚和白藜芦醇进行了定量分析。多酚是通过分光光度法测定的,而其他底物则使用超压层色谱法(OPLC)进行了分析。主成分分析; (PCA)是对数据矩阵执行的,该数据矩阵由Pecs(匈牙利南部)地区的底物(列)和不同种类的葡萄酒(行)组成。发现四个(未旋转的)主成分占数据总方差的80%以上。组分负载图显示了生物胺(和多酚)浓度的显着分组。同样,成分分数根据不同种类的葡萄酒分组。加载图表明,无需测量所有变量即可实现相同的特性。每组测量一个变量就足够了。当然,该结论仅在本研究的范围内有效。其他地区的葡萄酒可能会有不同的表现。 [参考:22]

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