摘要
目的:根据相关古籍文献推断当归道地产区,对当归现代科研成果进行总结并提取文献中相关数据、进行系统化整合与分析。方法:考证历代本草著作,结合古籍原文推断道地产区;针对不同产区当归药材制定检索策略,到CNKI检索相关文献,规范整合不同产地当归药材性状特征数据及化学成分相关数据,采用单因素方差分析、主成分分析和聚类分析法对当归化学成分含量数据进行多指标综合评价。结果:考证本草古籍共14本、近代典籍1本,提取古近代产区26个,对应现代产地(省)8个,根据产地频次统计结果与古籍原文相关描述推断甘肃、四川为当归道地产区;共检索到性状文献75篇,化学1949篇。归纳道地产区当归药材性状特征;化学成分含量数据多指标两两比较结果显示甘肃省、云南两省样品质量差异较大,其他产区差异相对较小。主成分分析提取出3个主成分,累积贡献率达90.641%,得到各产地当归质量综合评价函数:F=(43.609×F1+31.137×F2+15.895×F3)/90.641。聚类分析结果将6个来源产地的当归药材划分为3类。结论:综合主成分分析和聚类分析与单因素方差分析得出结论:甘肃为当归药材最优产区,四川、云南、湖北次之,河北、陕西产区当归质量不佳。该结果与当归本草考证研究所得道地产区有一致性,可为当归药材的道地性评价提供依据。
Geo-authentic habitats of Angelica Sinensis can be deduced from antiquity herbal literature’s point of view. To provide basis for quality evaluation of Angelica Sinensis, this article summarized modern achievements in scientific research. To conclude genuine habitats of Angelica Sinensis, the related description of Geo-authentic habitats in ancient materia were reviewed and tested. Professional search strategy on traits and chemical characteristics of Angelica Sinensis were made to retrieve relevant literature in the CNKI database, and then the date on pharmacognostic characteristics and chemical component of crude drug from different origins were refined, and at last the date were comprehensively evaluated by Analysis of Variance, principal component and cluster analysis. and Conclusion Fourteen ancient books and one book of recent time were looked up on Herbalogical study. On this basis, twenty-six ancient origins were refined.Eight corresponding modern origins were finded through locating the place these medicines of dynasties in modern map.Combined with Frequency statistical results of modern origins and the related description of Geo-authentic habitats in ancient materia, genuine habitats of Angelica Sinensis were concluded. They are Gansu and Sichuan provinces. 75 literatures on traits and 1949 literatures on chemical characteristics of Angelica Sinensis were retrieved. The pharmacognostic characteristics of Angelica Sinensis were sumerized according to the traits. date. The results of ANOVA indicate that there exists significant difference in the quality of the samples in Gansu and Yunnan provinces among 6 different origins of Angelica Sinensis. Three principal components whose accumulated variance contribution rate was over90.641% were obtained. Based on these principal components, samples of Angelica Sinensis from the different planting areas were clustered into three groups by within-groups linkage cluster methods. The results show that Gansu province was the best among 10 habitats. Sichuan, Yunnan Hu
作者
刘方舟
李园白
王静
杜昱
杨阳
Liu Fangzhou;Li Yuanbai;Wang Jing;Du Yu;Yang Yang(Institute of Information on Traditional Chinese Medicine,China Academy of Chinese Medical Sciences,Beijing 100700, China)
出处
《世界科学技术-中医药现代化》
CSCD
北大核心
2018年第9期1531-1539,共9页
Modernization of Traditional Chinese Medicine and Materia Medica-World Science and Technology
基金
国家科技部科技基础性工作专项(2015FY111500-190):"常用道地药材及及其产区的特征
标准及数字化"-道地药材数据库建设
负责人:李园白
中国中医科学院中医药信息研究所指令性研究(ZZ090310):非处方中成药智能推荐系统构建研究
负责人:杨阳
关键词
道地药材
当归
本草考证
性状特征
化学成分
主成分分析
聚类分析
单因素方差分析
Dao-di herbs
Angelica Sinensis
herbal textual research
pharmacognostic characteristics
chemical component
principal component analysis
cluster analysis
one-way ANOVA
