摘要
比较不同产地的当归样品与市售药材之间的化学成分差异,为当归的质量控制提供参考。采用高效液相色谱法测定了16个不同产地的19份全归样品及28份市售药材(除6份全归,1份归头外,其余21份均为饮片)的指纹图谱,以阿魏酸为参照,鉴定12个共有峰。结果显示,当归饮片指纹图谱共有峰数目普遍较全归样品少,共有峰吸收值除峰11、12外,其余均较全归样品的共有峰吸收值低。结合系统聚类分析、相似度计算等方法对产地收集的当归样品和商品药材的指纹图谱进行评价比较,结果发现当归全归与饮片基本可以聚成两大类。全归(y-17、s-3、s-5及s-6除外)的相似度在0.973以上,饮片的相似度则在0.969以下,表明当归全归与饮片化学成分存在较大差异。本实验结果提示为保持药材成分的稳定,当归最好以全归的形式流通,同时应该注意当归的贮藏方式及年限。
A chemical fingerprint method was developed for investigating the variance of constituents between the whole roots and prepared slices of Radix Angelicae Sinensis (the roots of Angelica sinensis) using HPLC. 19 Radix Angelicae Sinensis whole roots collected from 16 different habitats and 28 commerial drugs including 6 whole roots, 1 root head and 21 prepared slices were analyzed. The component fingerprint of Radix Angelicae Sinensis with 12 common peaks was established. Common peaks 2, 5 and 6 could not be detected in most of the prepared slice samples. Except peaks 11 and 12, all the other peaks in graphics of the prepared slice samples mostly showed lower responses than those of the whole root samples. The whole roots and prepared slices could also be divided into two groups based on the clustering analysis results done by SAS 8.2. Meanwhile, the Similarity Evaluation System for Chromatographic Fingerprint of TCM 2004 software was applied for data analysis. Except samples y-17, s- 3, s-5 and s-6, the similarities of the whole root samples were over 0. 973, while the similarities of the prepared slice samples were all below 0. 969. All the results demonstrated that there was distinguished difference in chemical components between the whole roots and prepared slices of Radix Angelicae Sinensis. Our experiments suggested to maintain the active components, whole roots of Radix Angelicae Sinensis should be a better choice than prepared slices for medicine trade and the storage of Radix Angelicae Sinensis should be taken care of.
出处
《药学学报》
CAS
CSCD
北大核心
2008年第7期728-732,共5页
Acta Pharmaceutica Sinica
关键词
当归
当归饮片
指纹图谱
相似度计算
Angelica sinensis
Radix Angelicae Sinensis
fingerprint
similarity analysis