食品科学 ›› 2021, Vol. 42 ›› Issue (16): 145-154.doi: 10.7506/spkx1002-6630-20200606-091

• 成分分析 • 上一篇    下一篇

5 个调色葡萄品种酚类物质轮廓分析

卢浩成,魏巍,成池芳,陈武,李树德,王晓军,刘宗昭,王军   

  1. (1.中国农业大学食品科学与营养工程学院,葡萄与葡萄酒研究中心,北京 100083;2.农业农村部葡萄酒加工重点试验室,北京 100083;3.新疆中信国安葡萄酒业有限公司,新疆 玛纳斯 832200)
  • 发布日期:2021-08-27
  • 基金资助:
    财政部和农业农村部:国家现代农业产业技术体系项目(CARS-29);新疆“十三五”重大专项(2017A01001-3); 昌吉州科技支撑产业高质量发展专项(2019Z02-01)

Analysis of the Phenolic Profiles of Five Blending Grape Varieties

LU Haocheng, WEI Wei, CHENG Chifang, CHEN Wu, LI Shude, WANG Xiaojun, LIU Zongzhao, WANG Jun   

  1. (1. Center for Viticulture and Enology, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China; 2. Key Laboratory of Viticulture and Enology, Ministry of Agriculture and Rural Affairs, Beijing 100083, China; 3. Xinjiang CITIC Guo’an Wine Co. Ltd., Manas 832200, China)
  • Published:2021-08-27

摘要: 对调色葡萄品种‘烟73’、‘烟74’、‘Kolor’、‘Tintorera’和‘Dornfelder’成熟期果实和小规模发酵的葡萄酒进行基本理化指标和酚类物质分析。结果表明,‘Kolor’和‘烟73’果实花色苷含量较高,均超过4?000?mg/kg(以果实鲜质量计);‘Tintorera’和‘烟73’果实黄酮醇含量较低,分别为43.99?mg/kg和59.6?mg/kg(以果实鲜质量计);‘Dornfelder’果皮黄烷醇含量最低。在5?个调色葡萄酿造的葡萄酒中,‘烟73’的花色苷质量浓度最高(1?827.87?mg/L);‘Tintorera’葡萄酒中黄酮醇(19.87?mg/L)、黄烷醇(35.34?mg/L)和酚酸(43.77?mg/L)质量浓度都低于其他品种。对果实花色苷含量进行主成分分析,能将大部分品种很好地区分。在此基础上构建正交偏最小二乘判别分析模型,能将各品种的果皮和果肉很好地区分,筛选出的差异物质大多为F3’5’H羟基取代花色苷。利用葡萄果实和葡萄酒中共同的酚类物质构建Pearson相关系数模型,结果显示,有70.37%的物质具有较强的相关性。本研究针对调色葡萄的酚类物质轮廓进行分析,能为干红葡萄酒以颜色和辅色为目的的调配提供基础。

关键词: 调色葡萄;葡萄酒;酚类物质;相关性分析

Abstract: This study aimed to explore the physicochemical properties and phenolic composition of the ripe berries of five color blending grape varieties, ‘Yan 73’, ‘Yan 74’, ‘Kolor’, ‘Tintorera’, and ‘Dornfelder’, and wines made from each variety by small-scale fermentation. The results showed that ‘Kolor’ and ‘Yan 73’ berries had higher contents of total anthocyanins than the other varieties, both exceeding 4 000 mg/kg fresh sample. ‘Tintorera’ and ‘Yan 73’ grapes had lower flavonol contents, which were 43.99 and 59.6 mg/kg fresh sample, respectively. The berry skin of ‘Dornfelder’ had the lowest flavanol content. Among the five varieties, the wine made from ‘Yan 73’ had the highest concentration of anthocyanins (1 827.87 mg/L), while the wine made from ‘Tintorera’ had the lowest concentrations of flavonols (19.87 mg/L), flavanols (35.34 mg/L), and phenolic acids (43.77 mg/L). Principal component analysis performed on anthocyanin contents in berries could distinguish most varieties. Furthermore, a model that was able to distinguish the berry skin and pulp of each variety well was established using orthogonal partial least squares-discriminant analysis (OPLS-DA). Most of the differentitial substances selected were F3’5’H hydroxyl substituted anthocyanins. A Pearson correlation coefficient model was constructed for the phenolic substances common to berries and wine, which showed that 70.37% of these substances had a strong correlation. The results from this study lay a foundation for dry red wine blending for the purpose of improving the color.

Key words: blending grape; wine; phenolic compounds; correlation analysis

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