Tang Ke, Ma Lei, Han Ye-Hui, Nie Yao, Li Ji-Ming, Xu Yan
State Key Laboratory of Food Science and Technology, Jiangnan Univ, 1800 Lihu Ave, Wuxi 214122, Jiangsu, PR China; Centre for Brewing Science and Enzyme Biotechnology, School of Biotechnology, Jiangnan Univ, 1800 Lihu Ave, Wuxi 214122, Jiangsu, PR China.
J Food Sci. 2015 Jan;80(1):C20-8. doi: 10.1111/1750-3841.12691. Epub 2014 Nov 26.
Characteristics of 106 wines from 5 major grape varieties and 3 typical geographic regions in China were investigated by means of profiling of organic acids and phenolic compounds analysis. An ultra-performance liquid chromatography method was developed and thus, large number of samples could be determined in a quick and reliable way. The results showed that different origins and varieties were characteristic of various profiles of organic acid and phenolic compounds. In order to investigate possible correlation between organic acids and phenolic compounds content and grape variety and/or geographical origin, analysis of variance and linear discriminant analysis (LDA) were conducted. A satisfactory LDA result for red wines according to geographic origin was obtained, in which the correct classification was 100% and the leave-one-out validation accuracy was 90%. The corresponding results of white wines were 91% and 86%, respectively. When LDA was processed, according to grape varieties, the proportionality of successfully classified wines was 96%, while the leave-one-out validation accuracy was 94%. The organic acids and phenolic compounds profiles were useful in the classification of Chinese wines according to grape variety and geographic origin.
通过有机酸剖析和酚类化合物分析,对来自中国5个主要葡萄品种和3个典型地理区域的106种葡萄酒的特征进行了研究。开发了一种超高效液相色谱法,从而能够快速、可靠地测定大量样品。结果表明,不同的产地和品种具有不同的有机酸和酚类化合物谱。为了研究有机酸和酚类化合物含量与葡萄品种和/或地理来源之间的可能相关性,进行了方差分析和线性判别分析(LDA)。根据地理来源,红葡萄酒的LDA结果令人满意,其中正确分类率为100%,留一法交叉验证准确率为90%。白葡萄酒的相应结果分别为91%和86%。当根据葡萄品种进行LDA分析时,成功分类的葡萄酒比例为96%,留一法交叉验证准确率为94%。有机酸和酚类化合物谱有助于根据葡萄品种和地理来源对中国葡萄酒进行分类。