食品科学

• 基础研究 • 上一篇    下一篇

中国进口红葡萄酒香气特征与价格之间的关联分析

胡竹韵1,王星晨1,陶永胜1,2,*,傅小萌1,张芳芳1   

  1. 1.西北农林科技大学葡萄酒学院,陕西 杨凌 712100;2.陕西省葡萄与葡萄酒工程技术研究中心,陕西 杨凌 712100
  • 出版日期:2015-06-15 发布日期:2015-06-07

Correlation Analyses between Price Levels and Aroma Characteristics of Imported Red Wines in China

HU Zhuyun1, WANG Xingchen1, TAO Yongsheng1,2,*, FU Xiaomeng1, ZHANG Fangfang1   

  1. 1. College of Enology, Northwest A&F University, Yangling 712100, China;
    2. Shaanxi Engineering Research Center for Viti-viniculture, Yangling 712100, China
  • Online:2015-06-15 Published:2015-06-07

摘要:

葡萄酒样本选择673 款不同价格水平的进口干红葡萄酒。葡萄酒的香气特征采用经过培训的品尝员的感官描述分析得到,而后香气特征采用“葡萄酒香气轮”上的香气标准术语归类。供试葡萄酒香气特征被标准化后被分为12 个香气类别,每一香气特征和香气类别在不同价格区段的出现频率经统计计算得到。结果表明:不同价格区段的进口葡萄酒具有的香气特征有差异,除了>1 400 元/瓶的葡萄酒之外,其余价格区段的葡萄酒香气特征的出现频率与价格水平之间存在多元线性关系。偏最小二乘回归模型确认了进口干红葡萄酒价格与香气特征之间的数学联系,即来源于陈酿中的香气特征与价格呈正相关,并且确认>1 400 元/瓶的进口葡萄酒产品属于奢侈品的特例。

关键词: 进口红葡萄酒, 价格, 香气特征, 主成分分析, 偏最小二乘回归

Abstract:

The objective of this study was to assess the relationship between aroma characteristics and price levels of
imported red wines in China. In this study, 673 imported red wines with different price levels were selected. Aroma
characteristics of the wines were described by sensory analysis and standardized using the aroma terms described in a wine
aroma wheel. The frequency of appearance of each aroma term at different price levels was calculated. The aroma terms were
divided into 12 aroma categories. The results obtained from principle component analysis revealed that wines with different
price levels had specific aroma profiles. Additionally, there was a multiple linear relationship between aroma characteristics
and price levels, with the exception of price level higher than 1 400 ¥ (RMB yuan). Partial least square regression was used
to confirm the mathematic relationship between aroma categories and price levels, that is, aroma characteristics from ageing
were positively related to the price, and it was shown that the price level higher than 1 400 ¥ was an outlier.

Key words: imported red wine, price levels, aroma characteristics, principal component analysis (PCA), partial least squares regression (PLSR)

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