Foods (Sep 2023)

Comprehensive Evaluation of Ten <i>Actinidia arguta</i> Wines Based on Color, Organic Acids, Volatile Compounds, and Quantitative Descriptive Analysis

  • Jinli Wen,
  • Yue Wang,
  • Weiyu Cao,
  • Yanli He,
  • Yining Sun,
  • Pengqiang Yuan,
  • Bowei Sun,
  • Yiping Yan,
  • Hongyan Qin,
  • Shutian Fan,
  • Wenpeng Lu

DOI
https://doi.org/10.3390/foods12183345
Journal volume & issue
Vol. 12, no. 18
p. 3345

Abstract

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Actinidia arguta wine is a low-alcoholic beverage brewed from A. arguta with a unique flavor and sweet taste. In this study, the basic physicochemical indicators, color, organic acid, and volatile aroma components of wines made from the A. arguta varieties ‘Kuilv’, ‘Fenglv’, ‘Jialv’, ‘Wanlv’, ‘Xinlv’, ‘Pinglv’, ‘Lvbao’, ‘Cuiyu’, ‘Tianxinbao’, and ‘Longcheng No.2’ were determined, and a sensory evaluation was performed. The findings show that ‘Tianxinbao’ produced the driest extract (49.59 g/L), ‘Kuilv’ produced the most Vitamin C (913.46 mg/L) and total phenols (816.10 mg/L), ‘Jialv’ produced the most total flavonoids (477.12 mg/L), and ‘Cuiyu’ produced the most tannins (4.63 g/L). We analyzed the color of the A. arguta wines based on CIEL*a*b* parameters and found that the ‘Kuilv’ and ‘Longcheng No.2’ wines had the largest L* value (31.65), the ‘Pinglv’ wines had the greatest a* value (2.88), and the ‘Kuilv’ wines had the largest b* value (5.08) and C*ab value (5.66) of the ten samples. A total of eight organic acids were tested in ten samples via high-performance liquid chromatography (HPLC), and we found that there were marked differences in the organic acid contents in different samples (p p A. arguta wines. Sensory evaluation is the most subjective and effective way for consumers to judge A. arguta wine quality. A quantitative descriptive analysis (QDA) of the aroma profiles of ten grapes revealed that the ‘fruity’ and ‘floral’ descriptors are the main and most essential parts of the overall flavor of A. arguta wines. ‘Tianxinbao’ had the highest total aroma score. The flavor and quality of A. arguta wines greatly depend on the type and quality of the A. arguta raw material. Therefore, high-quality raw materials can improve the quality of A. arguta wines. The results of the study provide a theoretical basis for improving the quality of A. arguta wines and demonstrate the application prospects of HS-GC-IMS in detecting A. arguta wine flavors.

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