首页> 外文期刊>Journal of Agricultural and Food Chemistry >Characterization and Quantification of Grape Variety by Means of Shikimic Acid Concentration and Protein Fingerprint in Still White Wines
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Characterization and Quantification of Grape Variety by Means of Shikimic Acid Concentration and Protein Fingerprint in Still White Wines

机译:静止白葡萄酒中mic草酸浓度和蛋白质指纹图谱对葡萄品种的表征和定量

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摘要

Protein profiles, obtained by high-performance capillary electrophoresis (HPCE) on white wines previously dialyzed, combined with shikimic acid concentration and multivariate analysis, were used for the determination of grape variety composition of a still white wine. Six varieties were studied through monovarietal wines elaborated in the laboratory: Chardonnay (24 samples), Chenin (24), Petit Manseng (7), Sauvignon (37), Semillon (24), and Ugni Blanc (9). Homemade mixtures were elaborated from authentic monovarietal wines according to a Plackett-Burman sampling plan. After protein peakarea normalization, a matrix was elaborated containing protein results of wines (mixtures and monovarietal). Partial least-squares processing was applied to this matrix allowing the elaboration of a model that provided a varietal quantification precision of around 20% for most of the grape varieties studied. The model was applied to commercial samples from various geographical origins, providing encouraging results for control purposes.
机译:通过对先前透析的白葡萄酒进行高效毛细管电泳(HPCE)获得的蛋白质谱,与sh草酸浓度和多元分析相结合,用于测定静止白葡萄酒的葡萄品种组成。通过实验室精心制作的单品种葡萄酒对六个品种进行了研究:霞多丽(24个样品),陈宁(24个),小曼森(7个),长相思(37个),赛美蓉(24个)和乌格尼·布兰克(9个)。根据Plackett-Burman抽样计划,使用地道的单品种葡萄酒精心制作自制混合物。蛋白质峰面积归一化后,精心制作了一个矩阵,其中包含葡萄酒的蛋白质结果(混合物和单品种)。对这个矩阵进行了局部最小二乘处理,从而可以建立一个模型,该模型为大多数所研究的葡萄品种提供大约20%的品种量化精度。该模型已应用于来自不同地理来源的商业样本,为控制目的提供了令人鼓舞的结果。

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