
千斤拔药材质量控制研究进展
Progress in Quality Control of Moghania
千斤拔主产于云南和广西,是我国传统壮药,具有祛风除湿,强壮筋骨,活血解毒的功效,民间有较高的药用和食用价值。《中国药典》(2015年版)附录及地方标准虽有收载,但并没有千斤拔质量控制标准内容,对于千斤拔的多基原特性,其标准的针对性、专属性尚待完善。笔者通过文献整理,对千斤拔的性状及显微鉴定、薄层色谱、指纹图谱、分子鉴定等进行分析和归纳。结果表明,千斤拔的质量控制模式主要以多指标同步质控、总成分质控和指纹图谱为主,TLC、UV、HPLC、红外光谱(IR)、气相色谱-质谱联用(GC-MS)、电感耦合等离子体光谱法(ICP-AES)等色谱光谱技术以及内部简单重复系列-聚合酶链式反应(ISSR-PCR)分子标记技术在千斤拔质量控制中的应用均有了系统的研究。这些为千斤拔资源系统研究与质量控制提供参考。
Moghania mainly grows in Yunnan and Guangxi, and is a kind of traditional Zhuang medicine in China. It is used to treat dispelling wind and dampness, strengthen bones and muscles, and promote blood circulation and detoxification. Moghania is also well known for its edible and medical value in folk. Currently Moghania medicinal plants are recorded in the appendix of China Pharmacopoeia and some local standards, but there is no content about the quality standard. We need to improve the quality standard to make it more accurate and specific for the multi-origin characteristics of Moghania. The literatures on Moghania were analyzed and summarized in terms of characteristics, microscopic identification, thin layer chromatography (TLC), fingerprinting, and molecular identification. The analysis result showed that the primary quality control mode of Moghania is mainly based on multi-index synchronization, total composition and fingerprints. The application of TLC, UV, HPLC, infrared spectroscopy (IR), gas chromatography-mass spectrometry (GC-MS), inductively coupled plasma atomic emission spectrometry (ICP-AES) and inter-simple sequence repeats-polymerase chain reaction (ISSR-PCR) molecular markers in Moghania quality control has been investigated systemically. These RESULTS provided references for the systematical study and quality control of Moghania resource.
壮药 / 千斤拔属 / 性状鉴定 / 显微鉴定 / 指纹图谱 / 分子鉴定 / 质量控制 {{custom_keyword}} /
Zhuang medicine / Moghania Roxb.ex W. T. Ait / morphological identification / microscopic identification / fingerprinting / molecular identification / quality control {{custom_keyword}} /
国家科技部第十九次中泰科技合作项目资助课题(19-508J)
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