食品科学 ›› 2020, Vol. 41 ›› Issue (8): 250-255.doi: 10.7506/spkx1002-6630-20191008-043

• 成分分析 • 上一篇    下一篇

基于多酚类化合物HPLC指纹图谱在红缨子高粱原料品质监控中的应用

倪德让,叶兴乾,林琳,孙崇德,孔祥礼,王和玉,王莉   

  1. (1.贵州茅台酒股份有限公司技术中心,贵州 仁怀 564501;2.浙江大学生物系统工程与食品科学学院,浙江 杭州 310058;3.浙江大学农业与生物技术学院,浙江 杭州 310058)
  • 收稿日期:2020-04-23 修回日期:2020-04-23 出版日期:2020-04-25 发布日期:2020-04-20

Application of High Performance Liquid Chromatographic Phenolic Compound Fingerprint in Quality Control of “Hongyingzi” Sorghum Raw Material

NI Derang, YE Xingqian, LIN Lin, SUN Chongde, KONG Xiangli, WANG Heyu, WANG Li   

  1. (1. Technique Center of Kweichow Moutai Co. Ltd., Renhuai 564501, China; 2. College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China; 3. College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310058, China)
  • Received:2020-04-23 Revised:2020-04-23 Online:2020-04-25 Published:2020-04-20

摘要: 以17 个不同产地的红缨子高粱样品和8 个其他酿酒高粱品种为样本,采用双流动相梯度洗脱(A相为0.1%甲酸溶液,B相为乙腈,柱温25 ℃,检测波长288 nm,流速0.5 mL/min),建立基于多酚类化合物的高效液相色谱指纹图谱,并进行相似度评价、聚类分析与主成分分析。相似度分析显示,17 批红缨子高粱间具有极高的相似度(>0.97),而其余酿酒高粱品种与红缨子高粱的相似度均低于0.90。在聚类分析和主成分分析中,红缨子高粱在判别距离为5时大部分聚为一类,得以与其他品种酿酒用高粱区分开。通过多酚类化合物高效液相色谱的指纹图谱技术能方便、高效地实现红缨子高粱与其他酿酒高粱品种的差异识别,可为红缨子高粱原料的品质监控提供指导和依据。

关键词: 红缨子高粱, 指纹图谱, 高效液相色谱, 聚类分析, 主成分分析

Abstract: This study aimed to establish a characteristic high performance liquid chromatographic (HPLC) fingerprint for the sorghum cultivar “Hongyingzi” based on phenolic compounds. A total of 17 “Hongyingzi” sorghum samples collected from Renhuai and surrounding regions in Guizhou and 8 other varieties used for Chinese liquor brewing collected from regions outside Guizhou were fingerprinted by HPLC. The chromatographic conditions were set as follows: gradient elution using 0.1% formic acid aqueous solution as mobile phase A and acetonitrile as mobile phase B, column temperature 25 ℃, flow rate 0.5 mL/min, and detection wavelength 288 nm. Common peaks found in all the fingerprints were used to evaluate the similarity among these samples and they were analyzed by cluster analysis and principal component analysis. Results indicated that all the “Hongyingzi” sorghum samples showed high similarities over 0.97 under the common pattern while the similarities among the other sorghum samples were lower than 0.90. In the cluster analysis and principal component analysis, the “Hongyingzi” sorghum samples were mostly clustered into one category at a discriminant distance of 5 and were distinguished from the other varieties. The established HPLC fingerprinting method was a convenient and efficient method to identify “Hongyingzi” sorghum from the other varieties and for quality control of “Hongyingzi” sorghum.

Key words: “Hongyingzi” sorghum, fingerprint, high performance liquid chromatography, cluster analysis, principal component analysis

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