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基于毛细管电泳的黄芩质量评价的定量分析与色谱指纹图谱研究

Quantitative analysis and chromatographic fingerprinting for the quality evaluation of Scutellaria baicalensis Georgi using capillary electrophoresis.

作者信息

Yu Ke, Gong Yifei, Lin Zhongying, Cheng Yiyu

机构信息

Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310027, China.

出版信息

J Pharm Biomed Anal. 2007 Jan 17;43(2):540-8. doi: 10.1016/j.jpba.2006.08.011. Epub 2006 Sep 20.

DOI:10.1016/j.jpba.2006.08.011
PMID:16989969
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7125791/
Abstract

Quantitative analysis and chromatographic fingerprinting for the quality evaluation of a Chinese herb Scutellaria baicalensis Georgi using capillary electrophoresis (CE) technique was developed. The separation was performed with a 50.0cm (42.0cm to the detector window)x75mum i.d. fused-silica capillary, and the CE fingerprint condition was optimized using the combination of central composite design and multivariate analysis. The optimized buffer system containing 15mM borate, 40mM phosphate, 15mM SDS, 15% (v/v) acetonitrile and 7.5% (v/v) 2-propanol was employed for the method development, and the baseline separation was achieved within 15min. The determination of the major active components (Baicalin, Baicalein and Wogonin) was carried out using the optimized CE condition. Good linear relationships were provided over the investigated concentration ranges (the values of R(2): 0.9997 for Baicalin, 0.9992 for Baicalein, and 0.9983 for Wogonin, respectively). The average recoveries of these target components ranged between 96.1-105.6%, 98.6-105.2%, and 96.3-105.0%, respectively. CE fingerprints combined with the quantitative analysis can be used for the quality evaluation of S. baicalensis.

摘要

建立了采用毛细管电泳(CE)技术对中药黄芩进行质量评价的定量分析和色谱指纹图谱方法。分离采用50.0cm(至检测窗口为42.0cm)×75μm内径的熔融石英毛细管进行,通过中心复合设计和多变量分析相结合的方式对CE指纹图谱条件进行了优化。方法开发采用含15mM硼酸盐、40mM磷酸盐、15mM十二烷基硫酸钠、15%(v/v)乙腈和7.5%(v/v)异丙醇的优化缓冲体系,15分钟内实现了基线分离。采用优化的CE条件对主要活性成分(黄芩苷、黄芩素和汉黄芩素)进行测定。在所研究的浓度范围内呈现良好的线性关系(R²值:黄芩苷为0.9997,黄芩素为0.9992,汉黄芩素为0.9983)。这些目标成分的平均回收率分别在96.1 - 105.6%、98.6 - 105.2%和96.3 - 105.0%之间。CE指纹图谱结合定量分析可用于黄芩的质量评价。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/beed/7125791/e749c056cbfb/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/beed/7125791/4b6aa26f2718/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/beed/7125791/02363c48ccd7/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/beed/7125791/e7208fa8e492/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/beed/7125791/e749c056cbfb/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/beed/7125791/4b6aa26f2718/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/beed/7125791/02363c48ccd7/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/beed/7125791/e7208fa8e492/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/beed/7125791/e749c056cbfb/gr4.jpg

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