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采用响应面法优化超高效液相色谱条件,快速分离和定量测定青蒿中酚类化合物。

Optimisation of ultra-performance LC conditions using response surface methodology for rapid separation and quantitative determination of phenolic compounds in Artemisia minor.

机构信息

Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, PR China.

出版信息

J Sep Sci. 2010 Dec;33(23-24):3675-82. doi: 10.1002/jssc.201000452.

DOI:10.1002/jssc.201000452
PMID:21140416
Abstract

A method that couples rapid, sensitive, reproducible and accurate ultra-performance LC (UPLC) with quadrupole-TOF-MS was established for the first simultaneous qualitative and quantitative analysis of phenolic compounds in Artemisia minor. Box-Behnken designs (BBDs) were applied as an effective tool to optimise major parameters that influence the resolution of UPLC, including three gradient steps and column temperature. Under optimal UPLC conditions, a total of 23 phenolic compounds in the crude methanol extracts of A. minor were well separated on a Waters Acquity UPLC BEH C(18) column (100×2.1 mm, 1.7 μm particle size) within 16.5 min, and the compounds were unequivocally or tentatively identified via comparisons with authentic standards and literature. In this study, a total of six major phenolic compounds were quantified in A. minor and the method was validated to be sensitive, precise and accurate within the LOD from 1.24 to 5.27 μg/mL, and the overall intra- and inter-day variations in detection were less than 3.76%. The recovery of the method ranged from 97.9 to 103.8% with RSDs that were less than 5.8%. These results demonstrate that this approach has the potential for quality control of A. minor and other Tibetan herbal medicines.

摘要

首次建立了一种将快速、灵敏、重现性好且准确的超高效液相色谱(UPLC)与四极杆飞行时间质谱(quadrupole-TOF-MS)相结合的方法,用于同时定性和定量分析小艾草中的酚类化合物。Box-Behnken 设计(BBD)被应用为一种有效的工具,以优化影响 UPLC 分辨率的主要参数,包括三个梯度步骤和柱温。在最优的 UPLC 条件下,在 Waters Acquity UPLC BEH C(18)柱(100×2.1mm,1.7μm 粒径)上,小艾草粗甲醇提取物中的 23 种酚类化合物在 16.5min 内得到了很好的分离,并通过与对照品和文献的比较,对这些化合物进行了明确或暂定的鉴定。在本研究中,小艾草中的 6 种主要酚类化合物进行了定量分析,该方法被证明具有较高的灵敏度、精密度和准确度,检测限从 1.24 到 5.27μg/mL,日内和日间的总变异系数小于 3.76%。该方法的回收率为 97.9%至 103.8%,RSD 小于 5.8%。这些结果表明,该方法有望用于小艾草和其他藏药的质量控制。

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