摘要
通过单因素和响应面实验,优化干红葡萄酒中多酚提取的工艺参数,得到实际工艺条件下的含量为(0.542±0.012)g/L,与响应面最佳理论值0.563g/L相差0.021g/L,说明优化的工艺可靠、可行。对供试赤霞珠干红葡萄酒中非花色苷酚类物质定量分析可知,酒样中主要有酚酸类和黄烷醇类,且这些物质多数受到酒样地区和年份的影响较大,存在显著差异性。在所测酒样中,国风2015年酒样种类最多,共检测出32种非花色苷酚类物质。紫轩提供的2010年赤霞珠干红葡萄酒总量最高,达114.5mg/L。PCA分析得到赤霞珠紫轩2009年、2012年、2013年及赤霞珠国风2014年葡萄酒中非花色苷酚类物质含量可聚为一类,均主要含有酚酸类物质。
Through the single factor and response surface experiments, the process parameters of polyphenol extraction in dry red wine were optimized, and the actual content was(0.542±0.012)g/L, which was different from the best theoretical value of response surface 0.563 g/L by 0.021 g/L, indicating that the optimized process is reliable and feasible. The quantitative analysis of non-anthocyanin phenols in the tested Cabernet Sauvignon dry red wine shows that there are mainly phenolic acids andflavanols in wine samples, and most of these substances are greatly affected by the wine sample region and year. There are significant differences. Among the wine samples tested, Guofeng 2015 wine samplehas the largest variety, and a total of 32 samples were detected. Zixuan provided the highest total Cabernet Sauvignon dry red wine in 2010, reaching 114.5 mg/L. PCA analysis that Cabernet Sauvignon Zixuanin 2009, 2012, 2013 and Guofeng in 2014, the content of non-anthocyanin phenols in the wines can be grouped into one category, all mainly containing phenolic acids.
作者
王凯丽
张波
韩舜愈
解迎双
龚祥
张欢
田秀
鲁榕榕
王媛
WANG Kai-li;ZHANG Bo;HAN Shun-yu;XIE Ying-shuang;GONG Xiang;ZHANG Huan;TIAN Xiu;LU Rong-rong;WANG Yuan(College of Food Science and Engineering,Gansu Agricultural University,Gansu Provincial Key Laboratory of Grape and Uine Engineering,Technology Research and Development Center of Grape and Wine Industry in Gansu Province,Lanzhou Gansu 730070,China;Comprehensive Technology Center of Gansu Entry-Exit Inspection and Quarantine Bureau,Lanzhou Gansu 730010,China)
出处
《食品与发酵科技》
CAS
2018年第4期102-110,126,共10页
Food and Fermentation Science & Technology
基金
甘肃河西产区干红葡萄酒色泽衰老机制及调控技术研究应用(甘商务财务发[2016]463-10)
关键词
响应面
非花色苷酚类物质
主成分分析
response surface
non-anthocyanin phenols
principal component analysis