Sun Lian, Yang Wenju, Liu Long
College of Pharmacy, Xinjiang Medical University, Urumqi 830054, China.
Zhongguo Zhong Yao Za Zhi. 2009 Apr;34(7):879-83.
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.
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.
Seventeen common characteristic peaks were summarized from the fingerprint of the 10 baths 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.
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.
建立桑叶（黑桑干燥叶）挥发油的气相色谱-质谱联用（GC-MS）指纹图谱，为其质量评价提供参考依据。
采用水蒸气蒸馏法提取桑叶挥发油，对采集于不同地区的10批样品进行GC-MS分析，进而建立其GC-MS指纹图谱。运用SPSS软件进行聚类分析。
从10批桑叶样品的指纹图谱中总结出17个共有特征峰，聚类分析结果将其分为两类，即采集于阿克苏地区、吐鲁番地区、哈密地区、和田洛浦县、江苏省、四川省、山西省和广州的样品为一组，而来自伊犁地区和乌鲁木齐的样品为另一组。
所建立的GC-MS指纹图谱可用于桑叶的鉴别和质量评价，该方法准确可靠，指纹图谱直观、特异。
