| 基于电学参数的贺兰山东麓赤霞珠葡萄酒子产区判别 |
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| 引用本文： | 马海军,朱娟娟,周乃帅,安雅静,侯丽君.基于电学参数的贺兰山东麓赤霞珠葡萄酒子产区判别[J].农业机械学报,2024,55(3):375-382. |
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| 作者姓名： | 马海军 朱娟娟 周乃帅 安雅静 侯丽君 |
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| 作者单位： | 北方民族大学 |
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| 基金项目： | 宁夏自然科学基金项目（2021AAC03182）和宁夏回族自治区科技创新领军人才项目（2022GKLRLX07） |
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| 摘 要： | 本研究以宁夏贺兰山东麓5个子产区(银川、青铜峡、红寺堡、石嘴山和农垦产区)自然发酵的赤霞珠干红葡萄酒为研究对象，测定其基本理化指标和电学特性，分析不同产区葡萄酒间电学特性的差异，筛选出区分不同产区葡萄酒的特征频率和有效电学参数，初步探索基于电学特性识别宁夏贺兰山东麓不同子产区葡萄酒的能力，以期为简捷快速有效识别产区葡萄酒提供新方法。结果表明，宁夏贺兰山东麓5个子产区的葡萄酒理化指标间存在显著性差异，农垦产区的葡萄酒可滴定酸含量最高，而还原糖含量最低；银川产区的葡萄酒挥发酸含量最低，石嘴山产区的葡萄酒酒精度最高。通过相关性分析、方差分析和多重比较，筛选出电压2 V下，区分不同产区葡萄酒的电学特性特征频率为0.1 kHz,有效电学参数为Z、Lp、X、Cp和Q。主成分分析和判别分析均显示，利用葡萄酒电学参数能够明显区分贺兰山东麓5个子产区，采用Fisher-判别分析建立的预测模型，其回代检测和交叉验证正确率均为100%。因此，利用葡萄酒电学特性识别产区具有可行性。
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| 关 键 词： | 葡萄酒产区判别 赤霞珠 自然发酵葡萄酒 电学特性 主成分分析 判别分析 |
| 收稿时间： | 2023/8/2 0:00:00 |
Identification of Producing Region at Eastern Foot of Helan Mountain Based on Electrical Parameters in Cabernet Sauvignon Wine |
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| MA Haijun,ZHU Juanjuan,ZHOU Naishuai,AN Yajing,HOU Lijun.Identification of Producing Region at Eastern Foot of Helan Mountain Based on Electrical Parameters in Cabernet Sauvignon Wine[J].Transactions of the Chinese Society of Agricultural Machinery,2024,55(3):375-382. |
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| Authors: | MA Haijun ZHU Juanjuan ZHOU Naishuai AN Yajing HOU Lijun |
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| Institution: | North Minzu University |
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| Abstract: | Spontaneous fermentation dry red wines of Cabernet sauvignon collected from five sub-producing areas (Yinchuan, Qingtongxia, Hongsibao, Shizuishan and Nongken) in the eastern foothills of Helan Mountain of Ningxia were selected as the materials. The basic physical and chemical indicators and electrical properties were measured, the differences of electrical properties among different producing regions were analyzed, and the characteristic frequency and effective electrical parameters to identify wines from different producing regions were screened. The aim was to explore the ability to identify wines from different sub-production areas in the eastern foothills of Helan Mountain in Ningxia based on electrical characteristics, in order to provide a method for simple, fast and effective identification of wine production regions. The results showed that there were significant differences in the physiochemical indicators of wines among the five sub-regions of Helan Mountain in Ningxia. Wine from Nongken region had the highest titratable acid content and the lowest reducing sugar content. The wine from Yinchuan had the lowest volatile acid sugar content, while the wine from Shizuishan had the highest alcohol content. Through correlation analysis, analysis of variance and multiple comparisons, the characteristic frequency of 0.1kHz and the effective electrical parameters Z, Lp, X, Cp and Q were selected to distinguish wines from different regions at 2V. The results of principal component analysis and discriminant analysis showed that the five sub-production regions of the eastern foothills of Helan Mountains could be clearly distinguished by the electrical parameters of wine. The prediction model established by Fisher-LDS had the correct rates of return test and cross validation of 100%. Therefore, it was feasible to identify wine producing region by wine electrical characteristics. |
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| Keywords: | identification of wine-producing region Cabernet sauvignon spontaneous fermentation wine electrical properties principal component analysis discriminant analysis |
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