食品科学 ›› 2011, Vol. 32 ›› Issue (7 ): 188-193.doi: 10.7506/spkx1002-6630-201107040

• 生物工程 • 上一篇    下一篇

枸杞果酒中总黄酮含量的发酵条件优化

许 亮1,师俊玲1,*,陈东方1,王振平2   

  1. 1. 西北农林科技大学食品科学与工程学院
    2.宁夏大学 葡萄与葡萄酒教育部工程研究中心
  • 收稿日期:2010-08-10 修回日期:2011-02-25 出版日期:2011-04-15 发布日期:2011-03-30
  • 通讯作者: 师俊玲 E-mail:sjlshi2004@yahoo.com.cn
  • 基金资助:
    国家自然科学基金项目(20862014)

Optimization of Fermentation Conditions for Production of Chinese Wolfberry Fruit Wine with Higher Total Flavonoid Content

XU Liang1,SHI Jun-ling1,CHEN Dong-fang1,WANG Zhen-ping2   

  1. 1.College of Food Science and Engineering,Northwest A&F University,Yangling 712100,China; 2.Engineering Research Center of Grape and Wine,Ministry of Education,Ningxia University,Yinchuan 750021,China
  • Received:2010-08-10 Revised:2011-02-25 Online:2011-04-15 Published:2011-03-30

摘要: 以宁夏枸杞为原料,通过Box-Behnken试验设计研究发酵温度、糖添加量、酵母添加量及pH值对发酵后枸杞果酒中总黄酮含量的影响,建立各影响因素的回归方程,并通过响应面分析法优化出成品酒中总黄酮含量的最佳发酵条件为:发酵温度21.9℃、酵母添加量0.29g/L、糖添加量107.0g/L、pH4.3,此条件下的预测值为0.2404g/L,实测值为(0.2337±0.0043)g/L,表明所得模型有很好的预测性。

关键词: 响应面, 优化, 宁夏枸杞, 果酒, 发酵, 黄酮

Abstract: This study aimed to develop a fermentation process for the production of fruit wine using Chinese wolfberry fruits from Ningxia autonomous region as the starting material. The fermentation conditions temperature, sugar addition, yeast inoculation size and pH were investigated in 4 runs of single factor experiments to preliminarily understand their effects on total flavonoid content in Chinese wolfberry fruit wine. Subsequently, Box-Behnken matrix design followed by regression analysis was used to establish a quadratic regression model for total flavonoid content in Chinese wolfberry fruit wine as a function of the above four fermentation conditions. Finally, response surface analysis was carried out for optimization purpose. The optimum fermentation conditions for improved total flavonoid content in Chinese wolfberry fruit wine were determined as follows: fermentation temperature 21.9 ℃; yeast inoculation size 0.29 g/L; sugar addition 107.0 g/L; and pH 4.3. Under these conditions, the predicted value of total flavonoid content in Chinese wolfberry fruit wine was 0.2404 g/L, and the experimental value was (0.2337 ± 0.0043) g/L. Therefore, the established regression model has good prediction ability.

Key words: Chinese wolberry, fruit wine, fermentation, flavonoids, response surface methodology, optimization

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