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引用本文:程媛,忻晓东,彭安堂,刘亚,李春花.基于GC-MS指纹图谱及多成分含量测定对经典名方乌药汤物质基准质量评价研究[J].中国现代应用药学,2021,38(23):2978-2984.
CHENG Yuan,XIN Xiaodong,PENG Antang,LIU Ya,LI Chunhua.Study on the Quality Evaluation of the Classic Famous Prescriptions Wuyao Decoction Based on GC-MS Fingerprint Spectrum and Multi-component Content Determination[J].Chin J Mod Appl Pharm(中国现代应用药学),2021,38(23):2978-2984.
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基于GC-MS指纹图谱及多成分含量测定对经典名方乌药汤物质基准质量评价研究
程媛1, 忻晓东1, 彭安堂2, 刘亚3, 李春花1,4,5
1.河北中医学院药学院, 石家庄 050090;2.石家庄市中医院, 石家庄 050090;3.保定市体育运动学校, 河北 保定 071051;4.河北省高校中药组分制剂应用技术研发中心, 石家庄 050090;5.河北省中药组方制剂技术创新中心, 石家庄 050090
摘要:
目的 建立经典名方乌药汤物质基准中挥发油的GC-MS指纹图谱,分析物质基准中挥发油的化学组成,并建立多指标含量测定方法。方法 遵古籍并结合前期考察工艺,将不同批次的饮片采用混批的投料方式,制备乌药汤物质基准,采用GC-MS建立物质基准指纹图谱,使用"中药色谱指纹图谱相似度评价软件(2012年版)"计算相似度,并结合正交偏最小二乘判别分析,挖掘影响不同批次乌药汤物质基准质量的标志性化合物,将其中4个标志性化合物香附烯酮、α-香附酮、去氢木香内酯、藁本内酯作为指标,建立其含量测定方法,并对10批样品进行含量测定。结果 10批样品指纹图谱与对照图谱的相似度0.954~0.990,确定了27个共有峰,鉴定出26个化学成分,并找到8个影响批次间差异的标志性化合物(峰6,21,22,9,23,18,27,20),乌药汤物质基准中香附烯酮、α-香附酮、去氢木香内酯、藁本内酯平均质量分数分别为5.54%,2.93%,1.52%,8.89%。结论 研究建立了GC-MS指纹图谱和多指标含量测定方法,初步形成了经典名方乌药汤物质基准挥发油部分的质量控制方法。
关键词:  经典名方  乌药汤  物质基准  气相色谱-质谱联用  指纹图谱  质量控制  香附烯酮  α-香附酮
DOI:10.13748/j.cnki.issn1007-7693.2021.23.011
分类号:R284.1
基金项目:河北省重点研发计划项目(19272502D)
Study on the Quality Evaluation of the Classic Famous Prescriptions Wuyao Decoction Based on GC-MS Fingerprint Spectrum and Multi-component Content Determination
CHENG Yuan1, XIN Xiaodong1, PENG Antang2, LIU Ya3, LI Chunhua1,4,5
1.College of Pharmacy, Hebei University of Chinese Medicine, Shijiazhuang 050090, China;2.The Traditional Chinese Medicine Hospital of Shijiazhuang, Shijiazhuang 050090, China;3.Baoding Sports School, Baoding 071051, China;4.Hebei Higher Education Institute Applied Technology Research Center on TCM Formula Preparation, Shijiazhuang 050090, China;5.Hebei Technology Innovation Center of TCM Formula Preparation, Shijiazhuang 050090, China
Abstract:
OBJECTIVE To establish GC-MS fingerprint of the volatile oil in the classical famous prescriptions Wuyao decoction substance to analyze the chemical composition of the volatile oil in the substance benchmark, the multi-index content determination method of Wuyao decoction was established to construct its quality control system. METHODS According to the ancient books and combining with the previously inspected process, different batches of decoction pieces were fed in mixed batches to prepare the material standard of Wuyao decoction, and GC-MS was used to establish the material standard fingerprint. Similarity was calculated by using "TCM Chromatographic Fingerprint Similarity Evaluation Software(2012 edition)". Combining with orthogonal partial least squares discriminant analysis, the main components that affected the quality of Wuyao decoction substance benchmarks from different batches and origins was excavated. Use 4 of these landmark compounds (cyperotundone, α-cyperone, dehydrocostus lactone, ligustilide) as indicators and used as indicators for content determination of Wuyao decoction substance benchmark. Content determination methods were established and the content of 10 batches of samples was determined respectively. RESULTS The similarity between the fingerprints of the 10 batches of samples and the control chromatogram was 0.954 to 0.990. Identified 27 common peaks, identified 26 chemical components and find 8 indexes which influence the stability of batch between components (peak 6, 21, 22, 9, 23, 18, 27, 20). The contents (cyperotundone, α-cyperone, dehydrocostus lactone, ligustilide) in the substance benchmark of Wuyao decoction were 5.54%, 2.93%, 1.52%, 8.89%. CONCLUSION GC-MS fingerprint and major component content determination of preliminary established the Wuyao decoction substance benchmark quality control method of the volatile oil.
Key words:  classical famous prescriptions  Wuyao decoction  substance benchmarks  GC-MS  fingerprint  quality control  cyperotundone  α-cyperone
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