成分分析

汉麻超高效液相色谱指纹图谱及4个成分含量测定研究*

  • 李军 ,
  • 刘晓丹 ,
  • 孙立秋 ,
  • 兰韬 ,
  • 王丹 ,
  • 赵明
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  • 1.齐齐哈尔大学化学与化学工程学院,齐齐哈尔 161006;
    2.黑龙江省工业大麻加工技术创新中心,齐齐哈尔 161006;
    3.国家市场监管技术创新中心(工业大麻),齐齐哈尔 161006;
    4.中国标准化研究院,北京 100191
第一作者 Tel:13684524509;E-mail:837534403@qq.com
** Tel:15946494901;E-mail:wd15214405606@163.com

收稿日期: 2024-05-08

  网络出版日期: 2025-08-25

基金资助

*黑龙江省省属高等学校基本科研业务非科研项目(145309316)

Study on UHPLC fingerprint and simultaneous determination of 4 components of hemp*

  • LI Jun ,
  • LIU Xiao-dan ,
  • SUN Li-qiu ,
  • LAN Tao ,
  • WANG Dan ,
  • ZHAO ming
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  • 1. Institute of Chemistry and Chemical Engineering, Qiqihar University, Qiqihar 161006, China;
    2. Heilongjiang Industrial Hemp Processing Technology Innovation Center, Qiqihar 161006, China;
    3. Technology Innovation Center of Industrial Hemp for State Market Regulation, Qiqihar 161006, China;
    4. China National Institute of Standardization, Beijing 100191, China

Received date: 2024-05-08

  Online published: 2025-08-25

摘要

目的: 建立汉麻超高效液相色谱(UHPLC)指纹图谱及大麻二酚酸(CBDA)、大麻二酚(CBD)、四氢大麻酚(THC)、四氢大麻酚酸(THCA)4个成分含量同时测定的分析方法,为汉麻的质量评价提供依据。方法: 采用Phenomenex C18 色谱柱(150 mm×4.6 mm,2.6 μm),流动相为乙腈-0.2%磷酸水溶液,流速为1.0 mL · min-1,柱温为35 ℃,检测波长为220 nm,进样量为2 μL,梯度洗脱;使用《中药色谱指纹图谱相似度评价系统(2012版)》对大兴安岭地区和齐齐哈尔地区的15批汉麻进行指纹图谱分析,采用聚类分析、主成分分析和正交偏最小二乘判别分析,对汉麻UHPLC指纹图谱进行分析评价。结果: 建立了汉麻UHPLC指纹图谱,标定了26个共有峰,指认了其中4个色谱峰并进行了含量测定,分别为CBDA、CBD、THC、THCA,其相似度均> 0.950。其中,大兴安岭地区样品聚为Ⅰ类,质量最好。表明不同产地汉麻样品有较大差异。26个共有峰经对照品比对,且由变量重要性投影可知,4个被指认成分均是导致汉麻差异的主要成分。结论: 该方法稳定可靠,可用于汉麻的定性定量分析,研究结果为汉麻的质量评价提供依据。

本文引用格式

李军 , 刘晓丹 , 孙立秋 , 兰韬 , 王丹 , 赵明 . 汉麻超高效液相色谱指纹图谱及4个成分含量测定研究*[J]. 药物分析杂志, 2025 , 45(3) : 409 -416 . DOI: 10.16155/j.0254-1793.2024-0299

Abstract

Objective: To establish the UHPLC fingerprint and quantitative analysis of CBDA, CBD, THC, and THCA for hemp, and provides a basis for the quantity control of hemp. Methods: UHPLC was launched on a Phenomenex C18 (150 mm×4.6 mm, 2.6 μm) with mobile phase of acetonitrile-0.2% phosphoric acid aqueous solution at a flow rate of 1.0 mL · min-1, column temperature of 35 ℃, detection wavelength of 220 nm, and an injection volume of 2 μL by gradient elution. 15 batches of hemp samples from Daxing ’anling region and Qiqihar were analyzed to establish the fingerprint. Cluster analysis, principal component analysis and orthogonal partial least squares discriminant analysis were adopted to assess of UHPLC fingerprint of hemp. Results: the UHPLC fingerprint of hemp was established, and 26 common peaks were selected the 26 common peaks were compared with the reference substance. The structures of four chromatographic peaks were identified and simultaneously analyzed for content determination. four chromatographic peaks were identified as CBDA, CBD, THC and THCA. The similarity of fingerprint of them was greater than 0.950. The samples from Daxing’anling were clustered into class Ⅰ, with the best quality. The results show that hemp samples from different regions were quite different. The variable importance projection (VIP) showed that the four compounds to be tested were the main components leading to the difference of hemp. Conclusion: The established method is stable and reliable and can be used for qualitative and quantitative analysis of hemp. The findings of this study are expected to provide a scientific basis for quality control of hemp.

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