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艾纳香及其提取物的GC-MS指纹图谱和相关性研究
引用本文:孙绪,付思红,熊丹丹,孙佳,巩仔鹏,兰燕宇,李勇军,王爱民.艾纳香及其提取物的GC-MS指纹图谱和相关性研究[J].中草药,2017,48(4):693-699.
作者姓名:孙绪  付思红  熊丹丹  孙佳  巩仔鹏  兰燕宇  李勇军  王爱民
作者单位:贵州省药物制剂重点实验室, 贵州 贵阳 550004;贵州医科大学药学院, 贵州 贵阳 550004;民族药与中药开发应用教育部工程研究中心/国家苗药工程技术研究中心, 贵州 贵阳 550004;贵州省药物制剂重点实验室, 贵州 贵阳 550004;贵州医科大学药学院, 贵州 贵阳 550004;贵州省药物制剂重点实验室, 贵州 贵阳 550004;贵州医科大学药学院, 贵州 贵阳 550004;贵州省药物制剂重点实验室, 贵州 贵阳 550004;贵州医科大学药学院, 贵州 贵阳 550004;民族药与中药开发应用教育部工程研究中心/国家苗药工程技术研究中心, 贵州 贵阳 550004;民族药与中药开发应用教育部工程研究中心/国家苗药工程技术研究中心, 贵州 贵阳 550004;民族药与中药开发应用教育部工程研究中心/国家苗药工程技术研究中心, 贵州 贵阳 550004
基金项目:贵州省科技成果转化项目(20155201);贵州省联合基金项目(20157356);贵州省中药现代化专项项目(20134001);贵州省优青项目(201511);贵州省教育厅项目(201304,ZYRC2014012);贵州省创新人才团队项目(20165613)
摘    要:目的建立艾纳香及其提取物艾粉、艾纳香油的GC-MS指纹图谱,并进行相关性分析。方法采用GC-MS建立艾纳香、艾粉、艾纳香油指纹图谱分析方法;通过CHROMAP 1.5指纹图谱系统解决方案软件分别建立共有模式,标定共有峰,进行相似度评价,并用NIST11标准质谱库对共有指纹峰进行检索分析。结果建立了艾纳香、艾粉、艾纳香油的GC-MS指纹图谱;标定艾纳香共有峰40个、艾粉共有峰17个、艾纳香油共有峰31个,并鉴定了艾纳香40个共有指纹峰、艾粉13个共有指纹峰、艾纳香油25个共有指纹峰的化学成分;艾纳香药材相似度为0.632~0.989,提取物艾粉和艾纳香油相似度均大于0.900;艾纳香药材与其提取物指纹图谱有较好相关性。结论该方法简便、准确、可靠,可用于艾纳香、艾粉、艾纳香油的鉴别和质量控制。

关 键 词:艾纳香  艾粉  艾纳香油  GC-MS  指纹图谱  相关性研究  共有模式  相似度评价  质量控制
收稿时间:2016/10/20 0:00:00

Studies on correlation for GC-MS fingerprints of Blumea balsamifera and its extracts
SUN Xu,FU Si-hong,XIONG Dan-dan,SUN Ji,GONG Zi-peng,LAN Yan-yu,LI Yong-jun and WANG Ai-min.Studies on correlation for GC-MS fingerprints of Blumea balsamifera and its extracts[J].Chinese Traditional and Herbal Drugs,2017,48(4):693-699.
Authors:SUN Xu  FU Si-hong  XIONG Dan-dan  SUN Ji  GONG Zi-peng  LAN Yan-yu  LI Yong-jun and WANG Ai-min
Institution:Guizhou Provincial Key Laboratory of Pharmaceutics, Guiyang 550004, China;School of Pharmacy, Guizhou Medical University, Guiyang 550004, China;Engineering Research Center for the Development and Application of Ethnic Medicine and TCM, Ministry of Education/National Engineering Research Center of Miao''s Medicines, Guiyang 550004, China;Guizhou Provincial Key Laboratory of Pharmaceutics, Guiyang 550004, China;School of Pharmacy, Guizhou Medical University, Guiyang 550004, China;Guizhou Provincial Key Laboratory of Pharmaceutics, Guiyang 550004, China;School of Pharmacy, Guizhou Medical University, Guiyang 550004, China;Guizhou Provincial Key Laboratory of Pharmaceutics, Guiyang 550004, China;School of Pharmacy, Guizhou Medical University, Guiyang 550004, China;Engineering Research Center for the Development and Application of Ethnic Medicine and TCM, Ministry of Education/National Engineering Research Center of Miao''s Medicines, Guiyang 550004, China;Engineering Research Center for the Development and Application of Ethnic Medicine and TCM, Ministry of Education/National Engineering Research Center of Miao''s Medicines, Guiyang 550004, China;Engineering Research Center for the Development and Application of Ethnic Medicine and TCM, Ministry of Education/National Engineering Research Center of Miao''s Medicines, Guiyang 550004, China
Abstract:Objective To establish a GC-MS fingerprint method of Blumea balsamifera (BB), Aifen, and Blumea balsamifera oil (BBO), and make a correlation study of the results. Methods A GC-MS method was developed for the fingerprint analysis of BB, Aifen, and BBO. Then the CHROMAP 1.5 fingerprint system software was used for processing the results as setting up their common patterns, painting the common peaks and evaluating the similarity, and according to the NIST11 standard mass spectrometry database the common peaks would be analyzed. Results The GC-MS fingerprints of BB, Aifen, and BBO were established. There were 40 common peaks in common fingerprints of BB, 17 of Aifen, and 31 of BBO were painted and all of BB, 13 of Aifen, and 25 of BBO were identified. The similarty of BB was 0.632-0.989, the extractions were greater than 0.900. BB and its extract had a good correlation between fingerprints. Conclusion The study is simple, accurate, and reliable, which can be used for identification and quality control of BB, Aifen, and BBO.
Keywords:Blumea balsamifera L  DC    Aifen  Blumea balsamifera oil  GC-MS  fingerprint  correlation study  common pattern  similarity evaluation  quality control
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