文章摘要
李海亮,陈玉武,王赵,王莹,昝珂,金红宇.基于UPLC指纹图谱结合化学模式的党参质量标志物预测分析[J].中国药事,2024,38(6):665-673
基于UPLC指纹图谱结合化学模式的党参质量标志物预测分析
Prediction and Analysis of Quality Markers of Codonopsis Radix by UPLCFingerprint and Chemometric Analysis
投稿时间:2024-05-06  
DOI:10.16153/j.1002-7777.2024.06.008
中文关键词: 党参  指纹图谱  化学计量学  质量评价  质量标志物
英文关键词: Codonopsis Radix  fi ngerprint  chemometrics methods  quality evaluation  quality marker
基金项目:国家药监局中药材及饮片质量控制重点实验室2023年度科研项目(编号 2023GSMPA-KL10);国家重点研发计划项目(编号2022YFC3501505)
作者单位
李海亮 中国食品药品检定研究院北京 100050 
陈玉武 甘肃省定西市药品检验所定西 743000 
王赵 中国食品药品检定研究院北京 100050 
王莹 中国食品药品检定研究院北京 100050 
昝珂 中国食品药品检定研究院北京 100050 
金红宇 中国食品药品检定研究院北京 100050 
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中文摘要:
      目的:建立党参药材的UPLC指纹图谱,结合化学计量学方法进行分析,对党参的质量标志物(Q-Marker)进行预测分析,为党参的质量评价提供科学依据。方法:采用ACQUITY UPLC®BEHC18色谱柱(2.1 mm×100 mm,1.7 μm),以乙腈-0.1%磷酸水溶液为流动相,梯度洗脱,流速0.3 mL·min-1,检测波长267 nm,柱温30 ℃,进样量2 μL。采用高效液相色谱仪,使用AgilentZORBAX SB-C18色谱柱和乙腈-0.1%磷酸水溶液进行梯度洗脱,建立21批党参样品的UPLC指纹图谱并进行相似度评价,采用聚类分析(HCA)、主成分分析(PCA)和正交偏最小二乘判别分析(OPLSDA)等化学计量学方法筛选出主要差异性成分,预测党参药材的Q-Marker。结果:建立了党参药材UPLC指纹图谱,确认了16个共有峰,通过对照品共指认出7个共有峰,分别为腺苷、色氨酸、紫丁香苷、绿原酸、党参苷Ⅰ、党参炔苷、白术内酯Ⅲ,指纹图谱相似度均大于0.85,经HCA、PCA 和OPLSDA筛选出党参苷Ⅰ、党参炔苷、腺苷及色氨酸为不同产地党参药材的重要差异性成分,可作为党参潜在的Q-Marker。结论:通过指纹图谱结合化学计量学分析预测了党参药材潜在的Q-Marker,为党参质量评价提供一定的参考。
英文摘要:
      Objective: To establish the UPLC fi ngerprints of Codonopsis Radix and analyze it combined withthe chemometric method, to predict and analyze the quality markers (Q-Marker) of Codonopsis Radix in orderto provide a scientifi c basis for the quality of Codonopsis Radix. Methods: HPLC was launched on a ACQUITYUPLC®BEH C18 column (2.1 mm×100 mm, 1.7 μm) by gradient elution with a mobile phase of acetonitrile-0.1% phosphoric acid aqueous solution at a fl ow rate of 0.3 mL·min-1, detection wavelength of 267 nm, column temperature of 30 ℃, and an injection volume of 2 μL. Gradient elution was performed using Agilent ZORBAXSB-C18 column and acetonitrile-0.1% phosphoric acid aqueous solution by HPLC. The UPLC fi ngerprints of 21batches of Codonopsis Radix were established and the similarity was evaluated. The main diff erential componentswere screened by chemometric methods such as cluster analysis (HCA), principal component analysis (PCA)and orthogonal partial least squares discriminant analysis (OPLS-DA), and the Q-Marker of Codonopsis Radixwas predicted. Results: The UPLC fi ngerprint of Codonopsis Radix was established, and 16 common peaks wereconfirmed, and 7 common peaks were identified by reference products, which were Adenosine, Tryptophan,Syringin, Chlorogenic Acid, Tangshenoside Ⅰ, Lobetyolin and Atractylenolide Ⅲ. The similarity of fi ngerprintswas greater than 0.85. Using HCA, PCA and OPLS-DA, Tangshenoside Ⅰ, Lobetyolin, Adenosine and Tryptophanwere identified as important differential components of Codonopsis Radix from different regions. Thesecomponents could be used as potential Q-Marker of Codonopsis Radix. Conclusion: The potential Q-Marker ofCodonopsis Radix is predicted by fi ngerprint combined with chemometrics analysis, which provided a referencefor quality evaluation of Codonopsis Radix.
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