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连朴饮基准样品高效液相色谱指纹图谱建立及化学成分鉴定OA北大核心CSTPCD

Establishment of High Performance Liquid Chromatographic Fingerprints and Identification of Chemical Constituents in Benchmark Samples of Lianpo Decoction

中文摘要英文摘要

采用高效液相色谱(HPLC)技术建立连朴饮(LPD)基准样品的指纹图谱,并对其中的化学成分进行分析.该实验使用Welch Ultimate®XB-C18(250 mm×4.6 mm,5 μm)色谱柱,以甲醇-0.1%磷酸溶液作为流动相,梯度洗脱,检测波长为254 nm,柱温为30 ℃,体积流量为1.0 mL/min,进样量为10 µL.通过相似度评价、聚类分析(CA)、主成分分析(PCA)和正交偏最小二乘法-判别分析(OPLS-DA)对不同批次连朴饮进行质量评价.运用超高效液相色谱-四极杆-静电场轨道阱高分辨质谱(UPLC-Q-Orbitrap HRMS)技术,识别连朴饮中的化学成分.结果表明,15批连朴饮基准样品与对照指纹图谱的相似度均高于0.9,连朴饮基准样品HPLC指纹图谱方法学验证良好.确定23个共有峰,指认8个成分,分别为3号峰栀子苷、7号峰表小檗碱、8号峰盐酸黄连碱、11号峰盐酸小檗碱、12号峰盐酸巴马汀、19号峰染料木素、21号峰和厚朴酚和22号峰厚朴酚.通过聚类分析和主成分分析2种化学模式识别方法,将15批基准样品划分为3类,结果互相印证.主成分1-4是影响其质量评价的主要因子,OPLS-DA共确定12个差异标志物.在连朴饮中鉴定出了91个化合物,主要包含环烯醚萜类、有机酸类、黄酮苷类、黄酮类和异黄酮类、生物碱类、木脂素类和氨基酸类.建立的连朴饮基准样品HPLC指纹图谱方法简单且稳定性、重复性良好,与质谱检测方法相结合,可为其后续制剂开发和质量控制研究提供参考.

High performance liquid chromatography(HPLC)technique was used to establish the fingerprints of the benchmark samples of Lianpo Decoction(LPD).The experiment was performed on a Welch Ultimate®XB-C18(250 mm×4.6 mm,5 μm)column with methanol-0.1%phosphoric acid solution as the mobile phase in a gradient elution with the detection wavelength of 254 nm,the column temperature of 30 ℃,the volume flow rate of 1.0 mL/min,and the injection volume of 10 μL.The quality of different batches of LPD was evaluated by similarity evaluation,cluster analysis(CA),principal component analysis(PCA)and orthogonal partial least squares-discriminant analysis(OPLS-DA).Ultra performance liquid chromatography-quadrupole-electrostatic field orbitrap high resolution mass spectrometry(UPLC-Q-Orbitrap HRMS)was applied to identify the chemical constituents in LPD.The results showed that the similarity between the fingerprints of the benchmark samples of 15 batches of LPD and the control fingerprints was higher than 0.9,and the methodological validation of the HPLC fingerprints of the benchmark samples of LPD was good.Twenty-three common peaks were identified,and eight components were recognized,which were geniposide at peak 3,epiberine at peak 7,coptis hydrochloride at peak 8,berberine hydrochloride at peak 11,palmatine hydrochloride at peak 12,genistein at peak 19,honokiol at peak 21,magnolol at peak 22,respectively.The 15 batches of benchmark samples were classified into three categories by two chemical pattern recognition methods,cluster analysis and principal component analysis,and the results corroborated each other.Principal components 1 to 4 were the main factors affecting their quality evaluation,and a total of 12 differential markers were identified by OPLS-DA.Ninety-one compounds were identified in LPD,which mainly included cyclic enol ether terpenes,organic acids,flavonoid glycosides,flavonoids and isoflavonoids,alkaloids,lignans and amino acids.The HPLC fingerprints of the baseline samples of LPD were simple,stable and reproducible,and combined with the mass spectrometry method,it can provide a reference for the subsequent formulation development and quality control studies.

王婕;王书航;周绍岩;梁潇云;徐可进

长春中医药大学药学院,长春 130117

化学

连朴饮聚类分析高效液相色谱指纹图谱超高效液相色谱-四极杆-静电场轨道阱高分辨质谱主成分分析正交偏最小二乘法-判别分析

Lianpo decoctionCluster analysisHigh performance liquid chromatography fingerprintingUPLC-Q-Orbitrap HRMSPrincipal component analysisOrthogonal partial least squares-discriminant analysis

《应用化学》 2024 (006)

813-829 / 17

吉林省创新能力建设项目(No.2021C002)、吉林省教育厅科学研究项目(No.JJKH20241093KJ)和重大疫情防治经典名方制剂储备库建设项目(No.吉中医药发[2021]11号)资助 Supported by Jilin Province Innovation Capacity Building Project(No.2021C002),Scientific Research Project of Jilin Provincial Department of Education(No.JJKH20241093KJ)and Construction Project of Reserve Bank of Classical Famous Formulas for Prevention and Control of Major Epidemics([2021]No.11)

10.19894/j.issn.1000-0518.230351

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