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桑叶挥发油气相色谱 质谱指纹图谱研究
引用本文:孙莲,杨文菊,刘龙.桑叶挥发油气相色谱 质谱指纹图谱研究[J].中国中药杂志,2009,34(7):879.
作者姓名:孙莲  杨文菊  刘龙
作者单位:1. 新疆医科大学,药学院,新疆,乌鲁木齐,830011
2. 新疆产品质量监督检验研究院,新疆,乌鲁木齐,830000
摘    要:目的:采用气相色谱-质谱(GC-MS)法建立各地产桑叶药材挥发油的指纹图谱,为桑叶的质量评价提供参考依据.方法:对10个不同地区的桑叶样品中挥发油进行GC-MS指纹图谱研究,采用SPSS软件进行聚类分析.结果:从10批次桑叶药材的指纹图谱中归纳出17个共有特征峰,构成桑叶挥发油的特征指纹图谱,聚类分析结果将10个产地的桑叶药材分为两类,其中,阿克苏、吐鲁番、哈密、和田洛普、江苏、四川、陕西、广州的药材列为一类;而伊犁、乌市列为一类.结论:建立的桑叶挥发油指纹图谱,方法准确可靠,指纹图谱直观明确,特征明显,可作为桑叶质量评价和品种鉴别的主要依据之一.

关 键 词:桑叶  GC-MS  指纹图谱  挥发油

Study on fingerprint of mulberry leaves by GC MS
SUN Lian-,Yang-Wen-Ju-,Liu-Long-.Study on fingerprint of mulberry leaves by GC MS[J].China Journal of Chinese Materia Medica,2009,34(7):879.
Authors:SUN Lian-  Yang-Wen-Ju-  Liu-Long-
Institution:1.  College of Pharmacy, Xinjiang Medical University, Urumqi 830054, China;
2.  Xinjiang College of Quality and Technical Supervision, Urumqi 830011, China
Abstract:

Objective: To establish a GC MS fingerprint profile of the volatile oil in mulberry leaves (dried leaves of Morus abla) in order to provide the referent basis of quality evaluation.  Method: The volatile oil was extracted from mulberry leaves by water stream distillation method, 10 bathes of samples collected from different regions were analyzed by GC MS, and their GC MS fingerprint were subsequently established. Hierarchical clustering analysis was performed by SPSS software.  Result: Seventeen common characteristic peaks were summarized from the fingerprint of the 10 bathes of mulberry Leaves sample, which were clasified two categories by the result of hierarchical clustering analysis, namely samples collected in Akesu area, Tulufan area,Hami area,Hetian Loupu county, Jiangsu province, Sichuang province, Shanxi province and Guangzhou were in a group, whereas those from Yili area and Wulumqi were in another group.  Conclusion: The established GC MS fingerprint could be used for the identification and quality evaluation of mulberry leaves, the method was accurate and reliable, the fingerprint was intuitive and specific.

Keywords:mulberry leaves  GC-MS  fingerprint  volatile oil
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