食品与发酵工业 >

2025 , Vol. 51 >Issue 12: 158 - 166

DOI: https://doi.org/10.13995/j.cnki.11-1802/ts.040469

研究报告

基于多酚含量的赤霞珠葡萄酒年份鉴别研究

  • 赵丹青 ,
  • 开建荣 ,
  • 王彩艳 ,
  • 张静 ,
  • 李彩虹 ,
  • 闫玥 ,
  • 张伟 ,
  • 葛谦
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  • 1(宁夏农产品质量标准与检测技术研究所,宁夏 银川,750002)
    2(宁夏农林科学院农业资源与环境研究所,宁夏 银川,750002)
第一作者:博士,助理研究员(张伟高级工程师和葛谦副研究员为共同通信作者,E-mail:zhweinx01@163.com;geqian_1116@163.com)

收稿日期: 2024-07-12

  修回日期: 2024-08-20

  网络出版日期: 2025-07-11

基金资助

宁夏回族自治区重点研发计划项目(2022BBF03018);宁夏回族自治区自然科学基金项目(2023AAC03419);“十四五”农业高质量发展和生态保护科技创新示范课题项目(NGSB-2021-5);国家自然科学基金项目(32260628)

收起

Vintage identification of Cabernet Sauvignon wine based on polyphenol content

  • ZHAO Danqing ,
  • KAI Jianrong ,
  • WANG Caiyan ,
  • ZHANG Jing ,
  • LI Caihong ,
  • YAN Yue ,
  • ZHANG Wei ,
  • GE Qian
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  • 1(Institute of Quality Standard and Testing Technology for Agro-Products of Ningxia, Yinchuan 750002, China)
    2(Institute of Agricultural Resources and Environment, Ningxia Academy of Agricultural and Forestry Sciences, Yinchuan 750002, China)

Received date: 2024-07-12

  Revised date: 2024-08-20

  Online published: 2025-07-11

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摘要

对比分析贺兰山东麓同一酒庄不同年份赤霞珠单品葡萄酒中多酚含量差异,基于此探讨酚酸、黄酮醇、黄烷醇代谢产物在葡萄酒年份鉴别中的可行性。采集贺兰山东麓永宁产区同一酒庄2018—2023年这6个年份的葡萄酒样品共计18份,监测分析葡萄酒中酚酸、黄烷醇、黄酮醇含量差异,采用Fisher线性判别分析方法,构建基于酚酸、黄烷醇、黄酮醇指标的葡萄酒年份鉴别模型。结果显示,赤霞珠单品葡萄酒中的21种酚酸、6种黄烷醇、10种黄酮醇在不同年份间均存在显著差异,新酒中黄烷醇、羟基肉桂酸含量低于老酒,黄烷醇高于老酒;采用Fisher线性判别分析方法,分别基于酚酸、黄烷醇、黄酮醇指标构建葡萄酒年份鉴别模型,正确鉴别率均达到94.4%以上。研究结果表明,基于葡萄酒中酚酸、黄烷醇、黄酮醇任意一种成分均可实现同一产地不同年份葡萄酒的准确鉴别。

关键词： 赤霞珠葡萄酒; 年份; 多酚; 黄酮醇; 黄烷醇; 鉴别

本文引用格式

赵丹青 , 开建荣 , 王彩艳 , 张静 , 李彩虹 , 闫玥 , 张伟 , 葛谦 . 基于多酚含量的赤霞珠葡萄酒年份鉴别研究[J]. 食品与发酵工业, 2025 , 51(12) : 158 -166 . DOI: 10.13995/j.cnki.11-1802/ts.040469

Abstract

This study conducted a comparative analysis of the polyphenol content differences in Cabernet Sauvignon varietal wines from the same winery in the eastern foothills of Helan Mountain across different vintages.Based on this, it explored the feasibility of using phenolic acids, flavonols, and flavan-3-ols metabolites for vintage identification of wines.A total of 18 wine samples from six vintages (2018-2023) were collected from a winery in the Yongning region of Helan Mountain’s eastern foothills.The contents of phenolic acids, flavan-3-ols, and flavonols in the wines were monitored and analyzed.Fisher’s linear discriminant analysis was employed to construct a vintage identification model based on these phenolic compounds.The results indicated significant differences in the 21 phenolic acids, 6 flavan-3-ols, and 10 flavonols across different vintages.In new wines, the contents of flavan-3-ols and hydroxycinnamic acids were lower, while the content of flavan-3-ols was higher compared to older wines.Using Fisher’s linear discriminant analysis method, vintage identification models based on phenolic acids, flavan-3-ols, and flavonols were constructed, with an accuracy rate exceeding 94.4% for each.Therefore, accurate identification of wines from the same origin across different vintages can be achieved based on any one of the phenolic acid, flavan-3-ol, or flavonol components in the wine.

Key words： Cabernet Sauvignon; year; polyphenols; flavonol; flavanol; identify

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