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不同品种红葡萄酒花色苷高效液相色谱指纹图谱识别
引用本文:张军翔,冯长根,李华. 不同品种红葡萄酒花色苷高效液相色谱指纹图谱识别[J]. 农业工程学报, 2006, 22(10): 216-221
作者姓名:张军翔  冯长根  李华
作者单位:北京理工大学机电工程学院,北京,100081;宁夏大学农学院,银川,750001;北京理工大学机电工程学院,北京,100081;西北农林科技大学葡萄酒学院,杨凌,712100
摘    要:利用高效液相色谱法建立了9个品种葡萄酒的花色苷指纹图谱,对不同品种葡萄酒进行识别。HPLC检测:采用反相C18柱,调整流动相pH值1.6,二元梯度洗脱,检测波长518 nm。指纹图谱建立方法:计算HPLC色谱峰的相对保留时间和相对峰面积,按相对保留时间排列相对应的相对峰面积。采用夹角余弦法计算相关系数,并使用SPSS11.0统计分析软件对指纹图谱进行系统聚类分析。结果表明:不同品种葡萄酒花色苷的HPLC指纹图谱存在着差异,山葡萄种及杂种葡萄酒具有区别于欧亚种葡萄酒的特征色谱峰;不同品种葡萄酒花色苷指纹图谱的相似性不同,不同种间品种葡萄酒相似性较差;系统聚类分析初步建立了不同品种葡萄酒花色苷识别模式,对葡萄酒进行了较好的识别。指纹图谱技术结合聚类分析是识别不同酿造品种葡萄酒的有效方法之一。

关 键 词:品种葡萄酒  花色苷  高效液相色谱  指纹图谱
文章编号:1002-6819(2006)10-0216-06
收稿时间:2006-03-30
修稿时间:2006-03-302006-05-21

Recognition of red wines from different grape cultivars by high-performance liquid chromatography anthocyanins fingerprint
Zhang Junxiang,Feng Changgen and Li Hua. Recognition of red wines from different grape cultivars by high-performance liquid chromatography anthocyanins fingerprint[J]. Transactions of the Chinese Society of Agricultural Engineering, 2006, 22(10): 216-221
Authors:Zhang Junxiang  Feng Changgen  Li Hua
Affiliation:School of Mechano-Electronics Engineering, Beijing Institute of Technology,Beijing 100081, China; Agricultural College, Ningxia University, Yinchuan 750001, China;School of Mechano-Electronics Engineering, Beijing Institute of Technology,Beijing 100081, China;College of Enology, Northwest Agriculture and Forestry University, Yangling 712100, China
Abstract:The chromatography anthocyanins fingerprints of red wines fromnine grape cultivars were established by high-performance liquid chromatography(HPLC) to identify wine from different cultivars. HPLC analysis:Chromatographic condition was RP-C18 column, pH 1.6 in mobile phases, binary solvent delivery gradient elution, and UV-Vis detection was used at 518nm.Fingerprint: the relative time and relative area of chromatography peaks were computed, and relative area of chromatography peaks were arranged according to relative time in turn. Correlative coefficient was computed using Cosine method. Hierarchical classification used SPSS11.0 statistical analysis software. The result of research illuminated that there were some differences in anthocyanins HPLC fingerprints of wines from different grape cultivars. The wines from V. amurensis and hybrid grapes had some chromatography peaks which did not exist in winesfrom V. vinifera grapes. Correlative coefficients have some differences inwines from different cultivars. The anthocyanins recognition pattern to identifywine from different cultivars was built by hierarchical classification analysis,and wine from different cultivars could be identified using this method. Thefingerprint with hierarchical classification was one of feasible methods for identifying red wines from different grape cultivars.
Keywords:wines from grape cultivars   anthocyanins   high-performance liquid chromatography   fingerprint
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