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啤酒大麦、麦芽中多酚类化合物HPLC指纹图谱分析技术研究
引用本文:张晶晶,郝建秦,张晓蒙,石俊,于佳俊,李涛,陈璐,王妍凌,杨帆,卢灏泽,薛洁.啤酒大麦、麦芽中多酚类化合物HPLC指纹图谱分析技术研究[J].中国酿造,2022,41(7):225.
作者姓名:张晶晶  郝建秦  张晓蒙  石俊  于佳俊  李涛  陈璐  王妍凌  杨帆  卢灏泽  薛洁
作者单位:(1.新疆农业大学 食品科学与药学学院,新疆 乌鲁木齐 830052;2.中国食品发酵工业研究院,北京 100015; 3.西藏农牧学院 食品科学学院,西藏 林芝 860000)
摘    要:以10个进口和8个国产啤酒大麦品种及其相对应的麦芽为样本,采用高效液相色谱(HPLC)建立大麦和麦芽中14种多酚类物质的指纹图谱,并分别进行相似度分析、聚类分析(CA)和主成分分析(PCA)。结果表明,进口大麦样品的相似度(0.938~0.989)高于国产大麦样品(0.911~0.937),而进口大麦麦芽的相似度(0.892~0.967)普遍低于国产大麦麦芽的相似度(0.956~0.981);CA(判别距离<5)结果和PCA结果一致,8个国产大麦和1个进口大麦样品B2聚为一类,8个国产麦芽和3个进口麦芽样品M2、M3、M4聚为一类,说明通过大麦、麦芽多酚类物质的HPLC指纹图谱技术能基本区分国产和进口大麦品质的差异。

关 键 词:啤酒  大麦  麦芽  指纹图谱  相似度分析  聚类分析  主成分分析  多酚类物质  

HPLC fingerprint analysis technology of polyphenol compounds in beer barley and malt
ZHANG Jingjing,HAO Jianqin,ZHANG Xiaomeng,SHI Jun,YU Jiajun,LI Tao,CHEN Lu,WANG Yanling,YANG Fan,LU Haoze,XUE jie.HPLC fingerprint analysis technology of polyphenol compounds in beer barley and malt[J].China Brewing,2022,41(7):225.
Authors:ZHANG Jingjing  HAO Jianqin  ZHANG Xiaomeng  SHI Jun  YU Jiajun  LI Tao  CHEN Lu  WANG Yanling  YANG Fan  LU Haoze  XUE jie
Affiliation:(1.College of Food Science and Pharmacy, Xinjiang Agricultural University, Urumchi 830052, China; 2.China National Research Institute of Food & Fermentation Industries, Beijing 100015, China; 3.College of Food Science, Tibet Agriculture and Animal Husbandry University, Nyingchi 860000, China)
Abstract:Using 10 imported and 8 domestic beer barley varieties and corresponding malt as samples, the fingerprints of 14 polyphenols in barley and malt were established by HPLC, and the similarity analysis, cluster analysis (CA) and principal component analysis (PCA) were carried out, respectively. The results showed that the similarity of imported barley samples (0.938-0.989) was higher than that of domestic barley samples (0.911-0.937), the similarity of imported malt (0.892-0.967) was generally lower than that of the domestic one (0.956-0.981). The results of CA (distance discriminant<5) was consistent with PCA, 8 domestic barley and 1 imported barley sample B2 were clustered into one class, and 8 domestic malt and 3 imported malt samples M2, M3 and M4 were clustered into one class, indicating that HPLC fingerprint technology of barley and malt polyphenols could basically distinguish the quality difference between domestic and imported barley.
Keywords:beer  barley  malt  fingerprint  similarity analysis  cluster analysis  principal component analysis  polyphenols  
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