基于UPLC的云南贵州灯盏细辛产地识别研究  

Study on the identification of the origin of Erigeron breviscapus based on UPLC

作　　者：张娇 田恒[2,3] 林涛 黄相中[1] 刘宏程 Zhang Jiao;Tian Heng;Lin Tao;Huang Xiangzhong;Liu Hongcheng(Key Laboratory of Ethnomedicinal Resource Chemistry,Yunnan University for Nationalities,Kunming 650500,China;Institute of Quality Standards and Testing Technology,Yunnan Academy of Agricultural Sciences,Agricultural Product Quality Supervision and Inspection Center,Ministry of Agriculture,Kunming 650223,China;School of Materials and Chemical Engineering,Southwest Forestry University,Kunming 650224,China)

机构地区：[1]云南民族大学民族医药学院,昆明650500 [2]云南省农业科学院质量标准与检测技术研究所农业部农产品质量监督检测中心,昆明650223 [3]西南林业大学材料与化学工程学院,昆明650224

出　　处：《国际中医中药杂志》2025年第3期364-371,共8页International Journal of Traditional Chinese Medicine

基　　金：云南省院士工作站(202305AF150015);云南省科技厅科技计划项目(202102AE090021)。

摘　　要：目的建立不同产地与不同储存条件下灯盏细辛的超高效液相色谱(UPLC)指纹图谱,并结合化学计量学方法对不同产地灯盏细辛进行识别研究。方法使用Acquity UPLC HSS T3(2.1 mm×100 mm,1.8μm)色谱柱,流动相为0.1%甲酸水溶液-乙腈,梯度洗脱,检测波长268 nm,流速0.25 ml/min,柱温35℃,进样量2μl,建立不同产地灯盏细辛UPLC指纹图谱。采用相似度评价结合聚类分析、主成分分析、OPLS-DA对不同产地灯盏细辛进行产地识别。利用指纹图谱技术对灯盏细辛的储存条件进行相似度评价。结果构建的UPLC指纹图谱方法符合方法学要求,30批灯盏细辛指纹图谱有24个共有峰,且贵州兴义和曲靖会泽产地的金盏花相似度为0.702~0.783,红河泸西、昆明富明与大理的相似度为0.861~0.970。聚类分析将所有样品分为2类,Ⅰ类为贵州兴义和曲靖会泽;Ⅱ类为大理、昆明富明和红河泸西。主成分分析结果与聚类分析结果一致。OPLS-DA筛选出不同产地灯盏细辛的10个差异标志物。6批不同储存下的灯盏细辛共标定出40个共有峰,根据相似度情况,将湿度30%与湿度70%的灯盏细辛样品分为2个类别。结论构建的指纹图谱方法稳定可靠,OPLS-DA模型的预测能力与可靠性优良,两者结合可对云南与贵州产地的灯盏细辛进行明确划分。湿度条件是储存灯盏细辛的重要因素。Objective To establish ultra-performance liquid chromatography(UPLC)fingerprint chromatograms for Erigeron breviscapu from different origins and storage conditions;To identify the Erigeron breviscapus from different habitats by chemometric analysis.Methods Acquity UPLC HSS T3(2.1 mm×100 mm,1.8μm)chromatography column was used;mobile phase was 0.1%formic acid aqueous solution-acetonitrile;detection wavelength was 268 nm;flow rate was 0.25 ml/min;column temperature was 35℃;injection volume was 2μl gradient elution.The UPLC fingerprint of Erigeron breviscapu from different origins was established.Similarity evaluation combined with chemometric analysis methods such as clustering analysis(CA),principal component analysis(PCA),orthogonal partial least squares method-discriminant analysis(OPLS-DA)were used to identify the origin of Breviscapine from different places.Fingerprint technology was used to evaluate the similarity of storage conditions for Erigeron breviscapu.Results The UPLC fingerprint method met the methodological requirements.30 batches of Erigeron breviscapus had 24 common peaks,and the similarity between Xingyi in Guizhou and Huize in Qujing was 0.702-0.783,while the similarity between Honghe Luli,Kunming Fuming and Dali was 0.861-0.970.All samples were divided into two categories according to their origin by CA:categoryⅠ:Xingyi in Guizhou and Huize in Qujing,and categoryⅡ:Dali,Kunming Fuming and Honghe Luli.The results of PCA were consistent with CA.OPLS-DA screened out 10 differential markers of Erigeron breviscapus from different habitats.Moreover,a total of 40 common peaks were identified in six batches of Erigeron breviscapus samples stored under different conditions.Based on the similarity analysis,Erigeron breviscapus samples stored at 30%humidity and 70%humidity were classified into two separate categories.Conclusions The fingerprint method constructed in this study is stable and reliable,and the predictive ability and reliability of the OPLS-DA model are excellent.By combining the two

关 键 词：中药产地 灯盏细辛 化学计量学 指纹图谱 质量控制 

分 类 号：R28[医药卫生—中药学]