聚类分析和主成分分析法研究甜味绞股蓝黄酮类成分HPLC指纹图谱

发布时间：2018-05-20 01:25

本文选题：甜味绞股蓝 + 黄酮类成分　；参考：《食品工业科技》2017年08期

【摘要】：研究了12批5个不同产地的甜味绞股蓝黄酮类成分HPLC指纹图谱,并进行聚类分析和主成分分析。采用Hedera ODS-2色谱柱(4.6 mm×250 mm,5μm)以0.1%磷酸水溶液(A相)-乙腈(B相)为流动相,0.8 mL/min梯度洗脱,建立甜味绞股蓝黄酮类成分HPLC指纹图谱。结果表明不同产地批次的甜味绞股蓝指纹图谱相似度在0.977~0.996之间,共标定14个共有峰,其中3号峰为芦丁。利用SPSS 22.0软件进行聚类分析和主成分分析,结果表明样品产地可被聚为3大类,两个主成分的累积方差贡献为88.786%。将中药指纹图谱及聚类分析、主成分分析相结合,为甜味绞股蓝的质量评价及资源利用提供基础。
[Abstract]:The HPLC fingerprints of flavonoids of gynostemma pentaphyllum in 12 batches from 5 different habitats were studied, and cluster analysis and principal component analysis were carried out. A Hedera ODS-2 column of 4.6 mm 脳 250 mm ~ 5 渭 m was used to establish the HPLC fingerprint of flavonoids of gynostemma pentaphyllum by gradient elution with 0.1% phosphoric acid aqueous solution as mobile phase (0. 8 mL/min) and acetonitrile (B) as mobile phase. The results showed that the similarity of fingerprint of gynostemma pentaphyllum was 0.977 ~ 0.996, and there were 14 common peaks, of which peak 3 was rutin. Cluster analysis and principal component analysis were carried out by using SPSS 22.0 software. The results showed that the origin of the samples could be clustered into three categories, and the cumulative variance of the two principal components contributed 88.786%. The combination of traditional Chinese medicine fingerprint, cluster analysis and principal component analysis provides a basis for quality evaluation and resource utilization of gynostemma pentaphyllum.
【作者单位】：南京中医药大学药学院;江苏神华药业有限公司;
【基金】：江苏省科技成果转化项目(BA2014118) 江苏高校优势学科建设工程资助项目(PAPD)
【分类号】：O657.72;TS207.3

【相似文献】