中医药导报2026，Vol.32Issue(6)：55-60,6.DOI:10.13862/j.cn43-1446/r.2026.06.010
基于UPLC指纹图谱和化学模式识别的不同产地金银花药材质量评价
Quality Evaluation of Lonicera Japonica Thunb.from Different Origins Based on UPLC Fingerprint and Chemical Pattern Recognition
摘要
Abstract
Objective:To establish ultra-performance liquid chromatography(UPLC)fingerprints for Lonicera Japonica Thunb.from different origins,and to conduct chemical pattern recognition and correlation analysis,in order to provide a reference for quality evaluation of Lonicera Japonica Thunb.Methods:An ultra-performance liquid chromatography(UPLC)system was employed with a Thermo Accucore TM C18 column(100.0 mm×4.6 mm,2.6 μm).The mobile phase consisted of acetonitrile-0.1%phosphoric acid aqueous solution at a flow rate of 0.3 mL/min,with gradient elution.Detection wavelengths were segmented as follows:324 nm(0-14 min),238 nm(14-20 min),354 nm(20-29 min),and 324 nm(29-55 min).Column temperature was maintained at 30℃,with an injection volume of 2 μL.Characteristic peaks were identified through reference standard comparison.UPLC fingerprints were constructed using the Chinese Herbal Medicine Chromatographic Fingerprint Similarity Evaluation System(2012 Edition)software for similarity assessment.Quality variations among Lonicera Japonica Thunb.from different origins were compared via cluster heatmap analysis,principal component analysis(PCA),and orthogonal partial least-squares discrimination analysis(OPLS-DA).Results UPLC fingerprints were established for 20 batches of Lonicera Japonica Thunb.from different origins.A total of 16 characteristic peaks were calibrated,and 10 chemical components were identified,namely neochlorogenic acid(peak 1),chlorogenic acid(peak 2),cryptoclorogenic acid(peak 3),loganin(peak 4),sweroside(peak 5),secoxyloganin(peak 8),luteoloside(peak 12),isochlorogenic acid B(peak 13),isochlorogenic acid A(peak 14),and isochlorogenic acid C(peak 16).Similarity evaluation results showed that the UPLC fingerprint similarity of the 20 honeysuckle batches ranged from 0.898 to 1.000.Except for S8 with a similarity of 0.898,the similarity of the remaining samples exceeded 0.974.Cluster heatmap analysis,PCA,and OPLS-DA analysis grouped the 20 Lonicera Japonica Thunb.batches into three clusters,and 4 differential markers were identified.Ranked by VIP values,these were Peak 10>Isoclorogenic acid A>Chlorogenic acid>Isoclorogenic acid C.Pearson correlation analysis revealed a significant positive correlation between origin and grouping,with the highest correlation coefficient.Variety showed the second-highest correlation,followed by processing method.Conclusion:Origin environment and cultivar are key factors influencing the quality of Lonicera Japonica Thunb.Integrating UPLC fingerprinting with multi-component chemical pattern recognition effectively evaluates quality variations among Lonicera Japonica Thunb.from different origins.关键词
金银花/产地/超高效液相色谱/指纹图谱/质量评价/化学模式识别/品种/加工方式Key words
Lonicera japonica Thunb./place of origin/UPLC/fingerprint spectrum/quality evaluation/chemical pattern recognition/varieties/processing method分类
医药卫生引用本文复制引用
管仁伟,王淑,冉志芳,郭瑞齐,孙新茹,智婷,李圣波,许丽丽..基于UPLC指纹图谱和化学模式识别的不同产地金银花药材质量评价[J].中医药导报,2026,32(6):55-60,6.基金项目
全国中药特色技术传承人才培训项目(202396) （202396）
山东省中医药高层次人才培育项目专项经费资助项目(2023143) （2023143）
山东省科技型中小企业创新能力提升工程(2023TSGC0444) （2023TSGC0444）
临沂市重点研发计划项目(2022026) （2022026）
国家中医药管理局高水平中医药重点学科建设项目(zyyzdxk-2023121) （zyyzdxk-2023121）
