摘要
目的:为鉴别没药产地、全面评价药材质量,建立没药的气相色谱(Gas Chromatography,GC)和高效液相色谱(High Performance Liquid Chromatography,HPLC)指纹图谱检测方法。方法:以水蒸气蒸馏法提取挥发油,采用GC色谱条件对10批没药挥发油进行指纹图谱分析;以甲醇超声提取方式制备供试品,采用HPLC色谱条件对10批没药进行指纹图谱分析;分别对建立的GC和HPLC方法进行方法学考察;采用中药色谱指纹图谱相似度评价系统软件进行相似度评价;采用聚类分析法对收集的10批没药进行不同产地的归属分析。结果:通过不同条件的因素考察,确定了没药GC和HPLC指纹图谱分析方法,两种方法指纹图谱相似度均达到0.93以上,方法学考察(精密度、重复性和稳定性)结果均符合要求。10批没药药材聚类分析表明不同产地之间存在差异。结论:所建立的GC和HPLC指纹图谱方法稳定可靠,可用于没药的质量评价及产地归属。
Objective:In order to identify the origin of myrrh and comprehensively evaluate the quality of the medicinal materials,a fingerprint method for Gas Chromatography(GC)and High Performance Liquid Chromatography(HPLC)were established.Methods:The volatile oil was extracted by steam distillation,and 10 batches of myrrh volatile oil were fingerprinted by GC chromatography.The samples were prepared by ultrasonic extraction of methanol,and 10 batches of myrrh were fingerprinted by HPLC.The established GC and HPLC methods were investigated respectively;The similarity evaluation system software of Chinese medicine chromatographic fingerprint was used to evaluate the similarity;Cluster analysis was used to analyze the attribution of 10 batches of myrrh from different places.Results:The GC and HPLC method of fingerprint analysis of myrrh were determined by examining factors of different conditions.The similarity of the fingerprints of the two methods reached more than 0.93;the results of methodological investigation(precision,repeatability and stability)are all in line with the requirements;Cluster analysis of 10 batches of myrrh showed that there were differences among different places of origin.Conclusion:The established GC and HPLC fingerprinting methods are stable and reliable,which can be used for the quality evaluation and places of origin attribution of myrrh.
作者
秦金淼
罗毅
刘子夜
曹桂云
孟兆青
QIN Jinmiao;LUO Yi;LIU Ziye;CAO Guiyun;MENG Zhaoqing(Shandong Hongjitang Pharmaceutical Group Co.,Ltd.,Jinan 250103,China)
出处
《山东化工》
2025年第14期131-135,共5页
Shandong Chemical Industry
关键词
没药
指纹图谱
方法学考察
相似度
聚类分析
myrrh
fingerprint
methodological investigation
similarity
clustering analysis
