天然产物研究与开发 ›› 2024, Vol. 36 ›› Issue (10): 1751-1760.doi: 10.16333/j.1001-6880.2024.10.012

• 开发研究 • 上一篇    下一篇

基于化学模式识别的桃仁及其炮制品差异性研究

郑蓉慧1,2，孙冬梅1，段志文1，刘晓霞1，冯涌微1，位翠杰1，陈向东1，李振雨1*   

  1. 1广东一方制药有限公司，佛山 528244；2广州中医药大学，广州 510006
  • 出版日期:2024-10-28 发布日期:2024-10-28
  • 基金资助:
    国家工信部2022年产业技术基础公共服务平台项目-中药全产业链质量技术服务平台（2022-230-221）；2022年佛山市南海区重点领域科技攻关专项（2023-20-18）

Study on the differences of Persicae Semen and its processed products based on chemical pattern recognition

ZHENG Rong-hui1,2,SUN Dong-mei1,DUAN Zhi-wen1,LIU Xiao-xia1,FENG Yong-wei1,WEI Cui-jie1,CEHN Xiang-dong1,LI Zhen-yu1*   

  1. 1Guangdong Yifang Pharmaceutical Co.,Ltd.,Foshan 528244,China；2Guangzhou University of Chinese Medicine,Guangzhou 510006,China
  • Online:2024-10-28 Published:2024-10-28

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摘要：

基于超高液相色谱法建立桃仁及其炮制品的指纹图谱及含量测定方法，并结合化学模式识别法比较分析其差异性。采用ACQUITY UPLC HSS T3（150 mm×2.1 mm，1.8 μm）色谱柱，以乙腈-0.1%磷酸溶液为流动相进行梯度洗脱，流速为0.30 mL/min，柱温为20 ℃，进样体积为2 μL，检测波长为210 nm，建立其指纹图谱及D-苦杏仁苷含量测定方法。采用方差分析（variance analysis，VA）、聚类分析（hierarchical clustering analysis，HCA）和偏最小二乘法-判别分析（partial least squares discriminant analysis，PLS-DA）对桃仁及其炮制品进行差异性分析。结果显示18批桃仁及其炮制品饮片UPLC指纹图谱相似度均在0.990以上，桃仁和燀桃仁的指纹图谱确认8个共有峰，炒桃仁确认7个共有峰，指认3个成分。通过化学模式识别分析，桃仁及其炮制品之间存在显著性差异，可聚为桃仁、燀桃仁、炒桃仁三类。含量测定结果显示桃仁、燀桃仁、炒桃仁饮片中D-苦杏仁苷含量的平均值分别为3.194%、3.048%、2.250%。本研究所建立的UPLC指纹图谱及含量测定方法专属性强，稳定性高，分离度良好，可用于桃仁、燀桃仁、炒桃仁的鉴别及D-苦杏仁苷含量的准确测定。

关键词: 桃仁, 燀桃仁, 炒桃仁, 指纹图谱, D-苦杏仁苷, 化学模式识别

Abstract:

The UPLC fingerprint and content determination combined with chemical pattern recognition were developed to compare and analyze the differences in Persicae Semen and its processed products.The Waters ACQUITY UPLC HSS T3(150 mm×2.1 mm,1.8 μm) was used for the analysis,with a acetonitrile-0.1% phosphoric acid solution serving as the mobile phase,a volume flow rate of 0.30 mL/min,a column temperature of 20 ℃,a injection volume of 2 μL,and a detective wavelength of 210 nm.Variance analysis(VA),hierarchical clustering analysis(HCA),and partial least squares discrimination analysis(PLS-DA) were used to analyze the fingerprint.The results showed that the similarity of UPLC fingerprint of 18 batches of Persicae Semen and its processed products was above 0.990.Three common peaks were identified out of eight common peaks in Persicae Semen,Chan Persicae Semen and seven common peaks in stir-baked Persicae Semen.Persicae Semen and its processed products were divided into three groups with significant differences under the chemical pattern recognition analysis.The results also indicated that the average content of D-amygdalin in samples of Persicae Semen,Chan Persicae Semen and stir-baked Persicae Semen were 3.194%,3.048%,2.250%,respectively.The established method,which has strong specificity,high stability and good separation,can efficiently identify Persicae Semen,Chan Persicae Semen and stir-baked Persicae Semen,and accurately determine D-amygdalin content.

Key words: Persicae Semen, Chan Persicae Semen, stir-baked Persicae Semen, fingerprint, D-amygdalin, chemical pattern recognition

中图分类号:  R283.1

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