Suppr超能文献

[白术的综合化学模式识别]

[Comprehensive chemical pattern recognition of atractylodis rhizoma].

作者信息

Wang Fan, Ouyang Zhen, Guo Lan-Ping, Zhao Ming, Peng Hua-Sheng, Liao Jing-Lin, Liang Zhong-Ping

出版信息

Zhongguo Zhong Yao Za Zhi. 2014 Jul;39(13):2536-41.

Abstract

A method of comprehensive chemical pattern recognition of Atractylodis Rhizoma was established by GC-MS fingerprint, principal component analysis, cluster analysis and discriminant analysis. A DB-wax column (0.25 mm x 60 m, 0.25 microm) with El ion source and 70 V electron multiplier were used for GC-MS analysis. Using principal component analysis, cluster analysis, and discriminant analysis, 15 common peaks of sample fingerprints for chemical pattern recognition research were analysed. The same results were obtained from the fingerprint, principal component analysis and cluster analysis, which could use to distinguish genuine Atractylodes lancea, ungenuine A. lancea and A. chinensis. Thus, this method could be used for the quality control and comprehensive evaluation of Atractylodis Rhizoma.

摘要

采用气相色谱-质谱联用(GC-MS)指纹图谱、主成分分析、聚类分析和判别分析等方法,建立了白术的综合化学模式识别方法。采用DB-wax柱(0.25mm×60m,0.25μm),配备EI离子源和70V电子倍增器进行GC-MS分析。运用主成分分析、聚类分析和判别分析,对用于化学模式识别研究的样品指纹图谱的15个共有峰进行了分析。指纹图谱、主成分分析和聚类分析得到了相同的结果,可用于鉴别正品茅苍术、伪品茅苍术和北苍术。因此,该方法可用于白术的质量控制和综合评价。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验