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作 者:苏建春[1,2] 柯华香[2,3] 赵俊霞[1] 孙彩霞[1] 尹蓉莉[1] 李化[2,4]
机构地区:[1]成都中医药大学药学院,四川成都611137 [2]中国中医科学院中药研究所,北京100700 [3]西华大学生物工程学院,四川成都610039 [4]中国中医科学院道地药材国家重点实验室培育基地,北京100700
出 处:《亚太传统医药》2015年第4期24-27,共4页Asia-Pacific Traditional Medicine
基 金:国家自然科学基金项目(81202903);科技部中医药行业科研专项(201407003)
摘 要:目的:利用超高效液相色谱(UPLC)指纹图谱技术结合判别分析方法建立黄芩产地快速鉴别方法。方法:色谱柱为Aquity BEH C18(50mm×2.1mm,1.7μm),流动相为0.1%甲酸水溶液-乙腈梯度洗脱,流速为0.4mL/min,柱温为40℃,检测波长为280nm。采用UPLC法对河南、甘肃、山西、河北、山东5省份64批黄芩样品进行测定,利用中国药典委员会颁布的《中药色谱指纹图谱相似度评价系统软件》(2004版A)对其进行相似度评价,并结合Fisher线性判别函数建立黄芩产地快速鉴别模型。结果:不同产地黄芩药材的指纹图谱相似度大于0.95;判别分析结果显示河南、山东、河北3省份的黄芩可被准确区分开来,山西、甘肃各有一批次黄芩出现误判,各模型判断正确率均大于94.7%。结论:利用超高效液相色谱(UPLC)指纹图谱技术结合判别分析方法鉴别黄芩产地快速、准确,值得推广。Objective: To set up the ultra performance liquid chromatography(UPLC)fingerprints of Scutellaria baicalensis Georgi (SBG) collected from different habitats so as that we could quickly and effectively discriminate SBG by UPLC fingerprint and dis- criminant analysis. Methods: The UPLC separation was performed on a Aquity BEH C18 analytical column gradient eluted with ace- tonitrile -0.1 % formic acid at the flow rate of 0.4mL/min . The temperature of column was 40℃. The PDA detection wavelength was 280nm. UPLC fingerprint was adopted to analyze 64 batches of SBG collected from different habitats. The similarity was evalua- ted according to the software' Herb Fingerprint Similarity Assessment System' (2004A) ,and Fisher's linear discriminant functions were established by discriminant analysis. Results: The similarity index of 64 batches SBG is greater than 0.95. The experimental results indicated that the samples collected from Henan, Shangong and Hebei provinces could be distinguished completely. The accu- racy of geographical tracing prediction model of every provinces is greater than 94.7 % Conclusion:Combining to the discriminant a- nalysis, we could quickly and effectively discriminate SBG by UPLC fingerprint. This method can be used for origin identification of SBG collected from different habitats.
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