湖北农业科学 ›› 2025, Vol. 64 ›› Issue (6): 128-135.doi: 10.14088/j.cnki.issn0439-8114.2025.06.021

• 中药材 • 上一篇    下一篇

瑶药猪殃殃化学成分、UPLC指纹图谱与化学模式识别评价

谢鲜丽1, 卿丽婷1, 梁建丽1, 刘丹2, 李耀华1   

  1. 1.广西中医药大学,广西高校中药提取纯化与质量分析重点实验室/中药学国家级实验教学示范中心,南宁 530200;
    2.广西中医药大学赛恩斯新医药学院,南宁 530200
  • 收稿日期:2024-12-30 出版日期:2025-06-25 发布日期:2025-07-18
  • 通讯作者: 李耀华(1978-),男,广西合浦人,高级实验师,硕士,主要从事中药质量控制与评价研究,(电子信箱)16467694@qq.com。
  • 作者简介:谢鲜丽(2000-),女,广西桂林人,在读硕士研究生,研究方向为中药质量控制与评价研究,(电子信箱)2948630483@qq.com
  • 基金资助:
    广西科技计划项目重点研发计划项目(桂科 AB18221099); 广西中医药大学广西一流学科建设开放课题(2019XK107); 广西中医药大学赛恩斯新医药学院大学生创新创业训练计划项目(201913643053); 广西中医药大学第三批“岐黄工程”高层次人才团队培育项目(202406); 广西中医药重点研究室项目(桂中医药科教发[2023]9号); 国家中医药管理局全国名老中医药专家传承工作室建设项目(国中医药人教函[2022]75号)

Chemical compositions,UPLC fingerprints and chemical pattern recognition evaluation of Yao medicine Galium aparine Linn. var. echinospermum (Wallr.) Cuf.

XIE Xian-li1, QING Li-ting1, LIANG Jian-li1, LIU Dan2, LI Yao-hua1   

  1. 1. Key Laboratory of Extraction, Purification and Quality Analysis of Traditional Chinese Medicine in Guangxi Universities / National Experimental Teaching Demonstration Center of Chinese Materia Medica, Guangxi University of Chinese Medicine, Nanning 530200,China;
    2. Faculty of Chinese Medicine Guangxi University of Chinese Medicine, Nanning 530200,China
  • Received:2024-12-30 Published:2025-06-25 Online:2025-07-18

摘要: 采用UPLC-Q-Exactive-MS技术,结合对照品比对的方法,对猪殃殃(拉拉藤)[Galium aparine Linn. var. echinospermum (Wallr.) Cuf.]的化学成分进行鉴定。以甲醇-0.1%甲酸为流动相,采用梯度洗脱,流速设定为0.2 mL/min;柱温保持在30 ℃。采用ACQUITY UPLC HSS-T3 C18(150 mm×3 mm,1.8 μm)色谱柱;在260、340 nm双波长下进行检测。同时,对10批不同产地的猪殃殃样品进行UPLC指纹图谱分析,并运用相似度评价、聚类分析和主成分分析等化学模式识别方法,对其质量进行综合评价。结果表明,利用UPLC-Q-Exactive-MS技术成功鉴定出猪殃殃中的32个成分;建立的10批猪殃殃样品UPLC指纹图谱,共标定17个共有峰,其中3个色谱峰被指认为酚酸类成分,10批样品的相似度为0.897~0.996。聚类分析将样品分为2大类,主成分分析结果与聚类分析一致。表明高分辨液质联用技术结合UPLC指纹图谱及化学模式识别法可全面、有效地评价猪殃殃的质量。

关键词: 猪殃殃(拉拉藤)[Galium aparine Linn. var. echinospermum (Wallr.) Cuf.], UPLC-Q-Exactive-MS, 指纹图谱, 化学模式识别, 质量评价

Abstract: The chemical constituents of Galium aparine Linn. var. echinospermum (Wallr.) Cuf. were identified using UPLC-Q-Exactive-MS in combination with reference substance comparison. The mobile phase was methanol-0.1% formic acid with gradient elution, and the flow rate was set to 0.2 mL/min. The column temperature was maintained at 30 ℃. ACQUITY UPLC HSS-T3 C18 ( 150 mm × 3 mm, 1.8 μm ) column was used. The detection wavelengths were 260 nm and 340 nm. At the same time, UPLC fingerprint analysis was performed on 10 batches of Galium aparine samples from different producing areas, and chemical pattern recognition methods such as similarity evaluation, cluster analysis, and principal component analysis were used to comprehensively evaluate their quality. The results showed that 32 components in Galium aparine were successfully identified by UPLC-Q-Exactive-MS technology. The UPLC fingerprints of 10 batches of Galium aparine samples were established, and a total of 17 common peaks were calibrated, of which 3 chromatographic peaks were identified as phenolic acids. The similarity of 10 batches of samples was 0.897 ~ 0.996. The samples were divided into two categories by cluster analysis. The results of principal component analysis were consistent with cluster analysis. It was demonstrated that the high-resolution liquid-mass spectrometry technique combined with UPLC fingerprinting and chemical pattern recognition method could comprehensively and effectively evaluate the quality of Galium aparine.

Key words: Galium aparine Linn. var. echinospermum (Wallr.) Cuf., UPLC-Q-Exactive-MS, fingerprint, chemical pattern recognition, quality evaluation

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