Physicochemical Data Mining of Msalais, a Traditional Local Wine in Southern Xinjiang of China

Physicochemical Data Mining of Msalais, a Traditional Local Wine in Southern Xinjiang of China
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南疆传统地方酒Msalais的理化数据挖掘

DOI:
10.1080/10942912.2015.1033549
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发表时间:
2016-07
影响因子:
2.9
通讯作者:
Guo, Dongqi
Guo, Dongqi
中科院分区:
农林科学3区
文献类型:
--
作者:
Zhu, Lixia;Wang, Liling;Yang, Wenju;Guo, Dongqi

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采用数据挖掘方法对15个Msalais传统葡萄酒样品的12个理化参数进行了全面分析,以了解Msalais样品之间的理化属性和均质性之间的相互作用。尽管Msalais样品之间的理化差异显着,但色度与浊度之间、总可溶性固形物与干浸出物之间、总酚与色度、挥发酸含量、干浸出物以及铁含量之间也存在显着相关性。通过多变量维度尺度分析,12个理化参数根据其对Msalais颜色(铁、颜色)、风味(挥发酸、酒精含量、总酸、酚、总糖)和醇度(干浸出物、浊度、总可溶性固形物、密度)的贡献进行聚类。观察到来自一家现代化工厂的样品的理化参数均一;然而,来自不同传统工作室的样品的理化参数存在很强的异质性。借助多种分析方法的数据挖掘为Msalais的质量控制,特别是品位评估提供了良好的基础。
Twelve physicochemical parameters of 15 traditional wine samples of Msalai were completely analyzed with data mining methods to understand the interaction between physicochemical attributes and the homogeneity among the Msalais samples. Although the physicochemical differences were significant among the Msalais samples, there was also significant correlation between chromaticity and turbidity, between total soluble solids and dry extract, between total phenol and chromaticity, volatile acid content, dry extract, as well as iron content. With multivariable dimension scale analysis, 12 physicochemical parameters were clustered according to their contribution to color (iron, color), flavor (volatile acids, alcohol content, total acid, phenol, total sugar), and body (dry extract, turbidity, total soluble solids, density) of Msalais. Homogeneity was observed in the physicochemical parameters of the samples from one modern factory; however, there was strong heterogeneous in the physicochemical parameters of the samples from different traditional workhouses. Data mining with the help of a variety of analytical methods provides a good foundation for the quality control of Msalais, especially for its grade estimation.
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