中国农业科学 ›› 2024, Vol. 57 ›› Issue (21): 4342-4355.doi: 10.3864/j.issn.0578-1752.2024.21.013

• 食品科学与工程 • 上一篇    下一篇

干红葡萄酒涩感质量的多维表征及其效果分析

谭方岱1(), 何英霞1,2(), 刘葭玥1, 李爱华3, 陶永胜1,2()   

  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重点实验室,陕西杨凌 712100
    3 西北农林科技大学食品科学与工程学院,陕西杨凌 712100
  • 收稿日期:2024-05-09 接受日期:2024-09-09 出版日期:2024-11-10 发布日期:2024-11-10
  • 通信作者:
    何英霞,E-mail:
    陶永胜,E-mail:
  • 联系方式: 谭方岱,E-mail:tanfangdai@nwafu.edu.cn。
  • 基金资助:
    国家重点研发计划(2022YFD1602011); 陕西省科技创新团队专项(2023-CX-TD-59); 中央高校基础科研业务费创新团队专项(XYTD2023- 12); 西北农林科技大学实验技术创新重点项目(A1070023104)

Multidimensional Characterization of Astringency Quality in Dry Red Wine and Its Effects

TAN FangDai1(), HE YingXia1,2(), LIU JiaYue1, LI AiHua3, TAO YongSheng1,2()   

  1. 1 College of Enology, Northwest A&F University, Yangling 712100, Shaanxi
    2 Shaanxi Key Laboratory of Viticulture & Enology, Yangling 712100, Shaanxi
    3 College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shaanxi
  • Received:2024-05-09 Accepted:2024-09-09 Published:2024-11-10 Online:2024-11-10

摘要:

【目的】综合考虑涩感的时间依赖性、口腔感觉的亚品质属性以及品评员即时面部表情,设计干红葡萄酒涩感分析方法,为涩感质量的多维表征提供方法学支撑。【方法】干红葡萄酒的涩感时间依赖性采用时间强度法表征涩感的最大强度(Imax)、感知速率(Vi)、消解速率(Vd)、整体响应强度(AUC)和感知持续时间(Ttot);涩感的干燥、粗糙和褶皱等亚品质通过选择合适项分析法(CATA)和动态主导型感官属性法(TDS)表达;饮用愉悦度试验基于面部表情分析技术表征。以甘肃、宁夏和新疆产区27款‘赤霞珠’干红葡萄酒样品为试材,表征涩感的强度、亚品质特征以及感知愉悦度差异。【结果】3个产区酒样的涩感差异主要体现在涩感Imax、Vd以及AUC上,相比甘肃和新疆,宁夏酒样的涩感Imax、AUC和Vd最大。干燥、麻木、粗糙、褶皱、生青和颗粒6种亚品质的选择频率超过50%,是供试酒样涩感的主要属性。涩感多元指标的相关性分析得出,3个产区的干红葡萄酒涩感亚品质差异主要体现在粗糙、褶皱和干燥感上。干红葡萄酒涩感过高的Vi、Vd,过高的粗糙和麻木感会降低品评员的积极情绪,而颗粒感通常会导致高兴和惊讶的表情出现。供试酒样涩感多元数据的主成分分析得出,本研究设计的涩感多维表征技术方法具有较强的酒样涩感区分能力。宁夏酒样有较高的Imax、AUC、Vi和Vd,粗糙、褶皱、干燥和麻木感更明显;新疆酒样的颗粒感较强,Imax、AUC、生青和麻木感较弱,饮用的舒适度较好;甘肃酒样拥有最强的生青感和最弱的粗糙优势率。【结论】本研究设计的干红葡萄酒多维表征方法能够具象、细致地表征产品涩感的多样性,较为科学地评价涩感的差异,具有应用推广价值。

关键词: 葡萄酒, 涩感, 时间-强度分析, 动态主导型感官属性分析, 即时面部表情分析

Abstract:

【Objective】The astringency analysis method for dry red wine was designed by considering the time dependence of astringency, the sub-quality attributes of oral sensation and the instant facial expressions of panelists, so as to provide the methodological support for the multidimensional characterization of astringency quality. 【Method】 Astringency time dependence of dry red wine was characterized by the time intensity method, and the related parameters were measured, such as maximum astringency intensity (Imax), rate of intensity increase before Imax (Vi), rate of intensity decrease after Imax (Vd), area under the curve (AUC), and perception duration (Ttot). Astringency sub-qualities, such as drying, rough, and pucker, were evaluated using CATA and TDS methods. Likability of the wine was analyzed through immediate facial expressions. Twenty-seven Cabernet Sauvignon dry red wine samples from Gansu, Ningxia and Xinjiang were used to characterize the astringency intensity, sub-quality characteristics and perceived differences in liking. 【Result】 Significant variations in astringency were observed among the three regions, particularly in Imax, Vd, and AUC. Wine samples from Ningxia exhibited the highest values for Imax, AUC, and Vd compared to those from Gansu and Xinjiang. The sub-qualities of astringency, such as drying, numbing, rough, pucker, green, and grainy, were frequently identified, with a frequency exceeding 50%. These sub-qualities constituted the main attributes of astringency in the analyzed wines. Correlation analysis of multiple astringency indexes revealed that the astringency sub-qualities in dry red wines from the three regions primarily consisted of rough, pucker, and drying. Excessive roughness and numbing diminished positive emotions among panelists, while the graininess often elicited happy and surprised expressions. Principal component analysis (PCA) of the multivariate data on astringency in the sampled wines demonstrated that the multidimensional characterization technology method designed in this study had a strong ability to distinguish astringency of sampled wines. Wine samples from Ningxia had higher Imax, AUC, Vi, and Vd, while the rough, pucker, drying and numbing were more obvious. Xinjiang wine samples had stronger grainy sense, and the Imax, AUC, green and numbing were weaker, but the drinking comfort was better. The wine samples from Gansu had the strongest green astringency and the weakest rough dominance rate. 【Conclusion】The multidimensional characterization method for dry red wine developed in this study effectively captured the diversity of astringency in a concrete and detailed manner, which provided a more scientific evaluation of astringency differences, making it valuable for broader application and promotion.

Key words: wine, astringency, time-intensity analysis, temporal dominance of sensation analysis, instant facial expression analysis