基于指纹图谱和多指标成分定量结合化学模式识别法评价不同产地草果质量  

Quality evaluation of Amomum tsao-ko from different habitats by fingerprint combined with multi-component quantification and chemical pattern recognition

作　　者：陈肖 管红梅 陈梦林 王保山 代敏 蒲忠慧 CHEN Xiao;GUAN Hong-mei;CHEN Meng-lin;WANG Bao-shan;DAI Min;PU Zhong-hui(School of Laboratory Medicine,Chengdu Medical College,Chengdu 610500,China;Sichuan Engineering Laboratory for Prevention and Control Technology of Veterinary Drug Residue in Animal-origin Food,Chengdu 610500,China;Sichuan Key Laboratory of Development and Regeneration,Chengdu Medical College,Chengdu 610500,China;Beijing Centre Biology Co.,Ltd.,Beijing 102600,China)

机构地区：[1]成都医学院检验医学院,四川成都610500 [2]四川省动物源性食品兽药残留防控技术工程实验室,四川成都610500 [3]成都医学院发育与再生四川省重点实验室,四川成都610500 [4]北京生泰尔科技股份有限公司,北京102600

出　　处：《中草药》2022年第11期3472-3479,共8页Chinese Traditional and Herbal Drugs

基　　金：国家自然科学基金资助项目(31970137,82102442);四川省应用基础研究项目(2021YJ0158,2020JDRC0071);四川省省级大学生创新创业训练计划项目(S202113705988);成都医学院发育与再生四川省重点实验室研究基金资助项目(SYS19-08)。

摘　　要：目的采用指纹图谱、多指标成分定量与化学模式识别相结合的方法,评价不同产地草果Amomum tsaoko质量,为其进一步开发利用提供依据。方法采用HPLC法,流动相为甲醇-0.2 mol/L磷酸水溶液进行梯度洗脱,柱温30℃,体积流量1 mL/min,检测波长270 nm,对15批不同产地草果药材建立指纹图谱及6种有效成分含量测定,运用聚类分析(hierarchical cluster analysis,HCA)、主成分分析(principal component analysis,PCA)和正交偏最小二乘法-判别分析(orthogonal partial least squares-discriminant analysis,OPLS-DA)对草果进行化学模式识别研究。结果建立了15批草果药材的指纹图谱,相似度为0.737~0.991,共标定21个共有峰,指认了6个成分,含量测定结果表明不同产地草果中化学成分含量存在明显差异;HCA分析15批草果明显分为3类;PCA得到4个主成分的累计方差贡献率为85.941%;OPLS-DA表明原儿茶酸、原儿茶醛、对羟基苯甲酸可能是影响草果药材质量的差异标志物。结论建立的草果HPLC指纹图谱及6个成分含量测定方法的专属性强,且准确、可靠,结合化学模式识别可用于草果的药材鉴别和质量控制。Objective Based on the method of HPLC fingerprint,multi-component quantification and chemical pattern recognition,the quality of Amomum Tsao-ko from different habitats was evaluated to provide basis for further development and utilization.Methods The methanol-0.2 mol/L phosphoric acid aqueous solution was used as mobile phase in HPLC analysis with gradient elution for the fingerprint establishment of A.tsao-ko from different habitats and the determination of six effective components.The detection wavelength was set at 270 nm,the flow rate was 1.0 mL/min,the injection volume was 10μL,and the column temperature was 30℃.The combination of hierarchical cluster analysis(HCA),principal component analysis(PCA)and orthogonal partial least squares-discriminant analysis(OPLS-DA)were employed to distinguish the quality of 15 batches of A.tsao-ko from different producing areas.Results The fingerprint of 15 bathes of A.tsao-ko were established and the similarity were 0.737—0.991,a total of 21 common peaks were calibrated and six of them were identified by comparing with reference subslances;The content determination results showed that there were obvious differences in the content of chemical components of A.tsao-ko from different habitats;The results of HCA demonstrated that there were obvious three categories distinctions;PCA analysis indicated that the cumulative variance contribution rate of four principal components were 85.941%;OPLS-DA found protocatechuic acid,protocatechualdehyde and p-hydroxybenzoic acid may be the markers of quality difference between them.Conclusion The established fingerprint and the content determination method of the six components were highly specific,accurate and reliable.Furthermore,combined with chemical pattern recognition,it could be used for the identification and over all quality control of A.tsao-ko.

关 键 词：草果 指纹图谱 多指标成分 化学模式识别 质量评价 原儿茶酸 原儿茶醛 对羟基苯甲酸 

分 类 号：R286.2[医药卫生—中药学]