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作 者:方澳宇 袁杰 陈灵丽 汪康 吴德玲 张亚中 FANG Ao-yu;YUAN Jie;CHEN Ling-li;WANG Kang;WU De-ling;ZHANG Ya-zhong(School of Pharmacy,Anhui University of Chinese Medicine,Hefei 230012,China;Anhui Institute for Food and Drug Control,Key Laboratory of Quality Research and Evaluation of Traditional Chinese Medicine,National Medical Products Administration,Hefei 230051,China;Huainan Municipal Food and Drug Inspection Center,Huainan 232007,China)
机构地区:[1]安徽中医药大学药学院,安徽合肥230012 [2]安徽省食品药品检验研究院/国家药品监督管理局,中药质量研究与评价重点实验室,安徽合肥230051 [3]淮南市食品药品检验中心,安徽淮南232007
出 处:《中国现代中药》2024年第11期1875-1885,共11页Modern Chinese Medicine
摘 要:目的:建立断血流的特征图谱和含量测定方法,通过化学计量学和多成分定量评价不同产地断血流及其药用部位的质量。方法:采用超高效液相色谱法(UPLC),应用Aglient SB C_(18)色谱柱(100 mm×2.1 mm,1.8μm);以0.1%甲酸水溶液(A)-乙腈(B)为流动相,梯度洗脱,流速为0.3 mL·min~(–1);柱温为30℃;进样体积为3μL;检测波长为263 nm。运用多组分检验柱状图、主成分分析(PCA)、正交偏最小二乘法-判别分析(OPLS-DA)等方法综合评价不同产地断血流及其药用部位的质量,并采取数据可视化工具制作植物热图进行数据表征。结果:建立识别断血流中13个共有成分的特征图谱,经方法学验证,所建立的方法适用于断血流药材的特征图谱及含量测定;不同产地和不同药用部位的质量差异有统计学意义(P<0.05)。除DXL-001、DXL-007外,21批样品的相似度为0.877~0.990。不同药用部位经PCA、OPLS-DA等方法可明显分为2类,得到6个差异性物质,表明茎、叶部位的成分含量差异有统计学意义(P<0.05);不同成分含量累计柱状图表明,不同地区中安徽产样品质量最佳。结论:断血流特征图谱和含量测定方法科学准确、合理可行,为断血流的质量评判提供了理论依据。Objective:To establish a characteristic fingerprint and a content determination method for Clinopodii Herba and to evaluate the quality of Clinopodii Herba from different origins and medicinal parts with chemometrics and multi-component quantification.Methods:Ultra-performance liquid chromatography(UPLC)was performed on an Agilent SB C18 column(100 mm×2.1 mm,1.8μm)using 0.1%formic acid aqueous solution(A)and acetonitrile(B)as the mobile phase in gradient elution mode at a flow rate of 0.3 mL·min–1.The injection volume was 3μL,and the column temperature was 30℃.The detection wavelength was set at 263 nm.Principal component analysis(PCA),orthogonal partial least squares discriminant analysis(OPLS-DA),and other analytical methods were employed to comprehensively evaluate the quality of Clinopodii Herba from different regions and medicinal parts.Data visualization techniques were used to produce heat maps of plants for data characterization.Results:A characteristic fingerprint was established that can identify 13 common components in Clinopodii Herba.The methods were validated as suitable for the characteristic fingerprint and content determination of Clinopodii Herba.There were significant differences in the quality of Clinopodii Herba from different origins and different medicinal parts(P<0.05).The similarity among 21 batches of samples,except for DXL-001 and DXL-007,ranged from 0.877 to 0.990.PCA and OPLS-DA classified the different medicinal parts into two distinct categories,yielding six differentiated markers.This classification indicated that the component content in stem and leaf parts was different significantly(P<0.05).Cumulative histograms of the contents of different components revealed that the quality of samples from Anhui was superior among the regions studied.Conclusion:The characterization and content determination methods are scientific,accurate,reasonable,and feasible.These findings provide a theoretical basis for the quality assessment of Clinopodii Herba.
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