湖北农业科学 ›› 2022, Vol. 61 ›› Issue (15): 204-208.doi: 10.14088/j.cnki.issn0439-8114.2022.15.038

• 检测分析 • 上一篇    下一篇

银菊止痒洗液HPLC特征指纹图谱及聚类分析

谢巍1, 杨妮1, 肖萍1, 卢森华2, 莫礼艳2   

  1. 1.柳州市妇幼保健院/广西科技大学附属妇产医院儿童医院,广西 柳州 545001;
    2.玉林市食品药品检验检测中心,广西 玉林 537000
  • 收稿日期:2021-09-09 出版日期:2022-08-10 发布日期:2022-08-25
  • 通讯作者: 莫礼艳(1981-),女,主管药师,主要从事食品药品检验及药品不良反应监测研究,(电子信箱)185143773@qq.com。
  • 作者简介:谢 巍(1989-),男,广西桂林人,副主任中药师,硕士,主要从事中药学研究,(电话)17736661926(电子信箱)915007149@qq.com
  • 基金资助:
    广西壮族自治区中医药管理局自筹经费科研课题(GZZC2019192); 广西壮族自治区中医药管理局自筹经费科研课题(GZZC2019194)

HPLC characteristic fingerprint and cluster analysis of Yinju antipruritic lotion

XIE Wei1, YANG Ni1, XIAO Ping1, LU Sen-hua2, MO Li-yan2   

  1. 1. Liuzhou Maternity and Child Healthcare Hospital/Affiliated Maternity Hospital and Affiliated Children's Hospital of Guangxi University of Science and Technology, Liuzhou 545001, Guangxi, China;
    2. Yulin Center for Food and Drug Control, Yulin 537000, Guangxi,China
  • Received:2021-09-09 Online:2022-08-10 Published:2022-08-25

摘要: 建立了银菊止痒洗液HPLC特征指纹图谱及聚类分析方法。采用HPLC法,以CAPCELL PAK C18 MGⅡ(4.6 mm×250 mm,5 μm)为色谱柱,流动相为甲醇-0.2 %磷酸水溶液,梯度洗脱,流速1.0 mL/min,在波长330 nm处检测,柱温25 ℃,进样量5 μL,采集不同批次银菊止痒洗液的指纹图谱,确定共有峰、对照指纹图谱以及相似度评价,并进行聚类和主成分分析。结果显示,银菊止痒洗液的共有指纹图谱中标定了15个共有峰,并指认了其中4个成分;不同批次银菊止痒洗液HPLC指纹图谱相似度均大于0.9,表明其所含的化学成分基本一致;聚类分析可分成3大类,主成分分析提示绿原酸、蒙花苷可作为质量评价的主要指标,聚类分析与主成分分析结果基本一致。该方法准确、稳定、重复性好、专属性强,可为银菊止痒洗液质量标准的控制与提升提供科学依据。

关键词: 银菊止痒洗液, 特征指纹图谱, 系统聚类分析, 质量评价, 高效液相色谱

Abstract: The HPLC characteristic fingerprint and cluster analysis method of Yinju antipruritic lotion were established. The HPLC method was used with CAPCELL PAK C18 MGⅡ(4.6 mm×250 mm, 5 μm) as the chromatographic column, the mobile phase was methanol-0.2 % phosphoric acid solution with gradient elution, the flow rate was 1.0 mL/min, the detection wavelength was 330 nm, the column temperature was 25 ℃, and the injection volume was 5 μL. The fingerprint of different batches of Yinju antipruritic lotion was collected, the common peak, control fingerprint and similarity evaluation were determined, and the clustering and principal component analysis were carried out. The results showed that there were 15 common peaks in the fingerprint of Yinju antipruritic lotion and 4 components were identified. The HPLC fingerprint similarity of different batches of Yinju antipruritic lotion was greater than 0.9, indicating that the chemical constituents were basically the same. Cluster analysis can be divided into three categories. Principal component analysis showed that chlorogenic acid and linarin could be used as the main indicators of quality evaluation. The results of cluster analysis and principal component analysis were basically consistent. The method is accurate, stable, reproducible and specific, which can provide a scientific basis for the control and improvement of the quality standard of Yinju antipruritic lotion.

Key words: Yinju antipruritic lotion, characteristic fingerprint, cluster analysis, quality evaluation, HPLC

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