| 引用本文: | 黄娜娜,李俊,普俊学,饶高雄,浦滇,和秋婷,杨树超,舒润生,和建辉.党参HPLC指纹图谱结合多种化学模式识别研究[J].中国现代应用药学,2022,39(16):2103-2111. |
| HUANG Nana,LI Jun,PU Junxue,RAO Gaoxiong,PU Dian,HE Qiuting,YANG Shuchao,SHU Runsheng,HE Jianhui.Study on HPLC Fingerprint of Codonopsis Radix Combined with Multiple Chemical Pattern Recognition[J].Chin J Mod Appl Pharm(中国现代应用药学),2022,39(16):2103-2111. |
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| 党参HPLC指纹图谱结合多种化学模式识别研究 |
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黄娜娜1,2, 李俊1,2, 普俊学3, 饶高雄1,2, 浦滇1,2, 和秋婷1,2, 杨树超4, 舒润生4, 和建辉4
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1.云南中医药大学, 昆明 650500;2.云南省高校药食同用资源养生产品工程研究中心, 昆明 650500;3.昆明积大制药股份有限公司, 昆明 650500;4.云南香格里拉兰草药业有限公司, 云南 维西 674601
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| 摘要: |
| 目的 基于HPLC指纹图谱对党参药材中多种化学成分进行含量检测,并结合多种化学计量学统计分析评价多产地多来源多批次的党参药材整体质量。方法 用ACE Neptune-C18色谱柱(250 mm×4.6 mm,5 μm),以乙腈-0.15%甲酸水溶液为流动相,体积流量0.8 mL·min-1,检测波长260 nm,柱温20℃,对41批次来源于多个产地的党参药材构建HPLC指纹图谱并结合化学计量学分析对党参质量进行评价,同时筛选出特征性成分进行含量检测及分析。结果 建立了党参HPLC指纹图谱,确定了23个共有峰,并指认了其中7个色谱峰;41批党参HPLC指纹图谱的相似度在0.650~0.962;聚类分析将41批次党参聚为2类;主成分分析中6个主要成分分别反映23个共有峰信息;偏最小二乘法判别分析中根据投影重要性指标的值进一步筛选出主要影响党参间差异的9个成分峰,并进行多指标成分的方法学考察,结果各成分的加样回收率在99.09%~103.68%,RSD为1.21%~3.68%。结论 不同产地和来源的党参药材存在一定的质量差异。通过指纹图谱、聚类分析、主成分分析及偏最小二乘法判别分析等方法相结合可全面地评价党参的质量,此方法的建立可以为党参的质量控制、产品评价提供一定的参考依据。 |
| 关键词: 党参 指纹图谱 聚类分析 主成分分析 偏最小二乘法判别分析 |
| DOI：10.13748/j.cnki.issn1007-7693.2022.16.009 |
| 分类号:R284.1 |
| 基金项目:云南省重大科技专项(2018ZF014) |
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| Study on HPLC Fingerprint of Codonopsis Radix Combined with Multiple Chemical Pattern Recognition |
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HUANG Nana1,2, LI Jun1,2, PU Junxue3, RAO Gaoxiong1,2, PU Dian1,2, HE Qiuting1,2, YANG Shuchao4, SHU Runsheng4, HE Jianhui4
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1.Yunnan University of Chinese Medicine, Kunming 650500, China;2.Medical and Food Health Products Engineering Research Center of Yunnan University, Kunming 650500, China;3.Kunming Jida Pharmacy Co., Ltd., Kunming 650500, China;4.Yunnan Shangri-La Lancao Pharmaceutical Co., Ltd., Weixi 674601, China
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| Abstract: |
| OBJECTIVE To detected the content of various chemical components in Codonopsis Radix based on HPLC fingerprints,combined with a variety of chemometric statistical analysis to evaluate the overall quality of Codonopsis Radix from multiple sources and batches.METHODS ACE Neptune-C18 column (250 mm×4.6 mm,5 μm) was used,mobile phase was acetonitrile-0.15% formic acid aqueous solution,volume flow rate was 0.8 mL·min-1,detection wavelength was 260 nm,column temperature was 20℃,for 41 batches Codonopsis Radix medicinal materials from multiple origins were used to construct HPLC fingerprints and combined with chemometric analysis to evaluate the quality of Codonopsis Radix.At the same time,the characteristic components were screened for content detection and analysis.RESULTS The HPLC fingerprint of Codonopsis Radix was established,23 common peaks were identified,and 7 chromatographic peaks were identified.The similarity of the HPLC fingerprints of 41 batches of Codonopsis Radix was between 0.650 and 0.962.Cluster analysis grouped 41 batches of Codonopsis Radix into 2 categories.The 6 main components in the principal component analysis reflected the information of 23 common peaks respectively.In the discriminant analysis of partial least squares,the 9 component peaks that mainly affect the difference between Codonopsis Radix were further screened according to the variable importance in projection.The methodological investigation of the index components showed that the sample recovery rate of each component was 99.09%-103.68%,and the RSD was 1.21%-3.68%.CONCLUSION There are differences in quality of Codonopsis Radix from different origins and sources.The combination of fingerprint,cluster analysis,principal component analysis and partial least square discriminant analysis can comprehensively evaluate the quality of Codonopsis Radix.The establishment of this method can provide a certain reference for the quality control and product evaluation of Codonopsis Radix. |
| Key words: Codonopsis Radix fingerprint cluster analysis principal component analysis partial least squares discriminant analysis |
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