文献类型： 外文期刊

作者： Zhong, Jia-Sheng ¹ ; Wan, Jin-Zhi ¹ ; Ding, Wen-Jing ¹ ; Wu, Xiao-Fang ² ; Xie, Zhi-Yong ¹ ;

作者机构： 1.Sun Yat Sen Univ, Sch Pharmaceut Sci, Guangzhou 510006, Guangdong, Peoples R China

2.Chinese Acad Trop Agr Sci, Anal & Testing Ctr, Haikou 571101, Peoples R China

3.Hainan Prov Key Lab Qual & Safety Trop Emits & Ve, Haikou 571101, Peoples R China

关键词： Aloe barbadensis Miller;Multi-responses optimization;Fingerprint;HPLC-DAD-ESI-MS/MS;Chemometrics

期刊名称：JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS （ 影响因子：3.935； 五年影响因子：3.563 ）

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收录情况： SCI

摘要： A quality control strategy using high-performance liquid chromatography-diode array detector-electrospray ionization-tandem mass spectrometry (HPLC-DAD-ESI-MS/MS) coupled with chemometrics analysis was proposed for Aloe barbadensis Miller. Firstly, the extraction conditions including methanol concentration, extraction time and solvent-to-material ratio were optimized by multi-responses optimization based on response surface methodology (RSM). The optimum conditions were achieved by Derringer's desirability function and experimental validation implied that the established model exhibited favorable prediction ability. Then, HPLC fingerprint consisting of 27 common peaks was developed among 15 batches of A. barbadensis samples. 25 common peaks were identified using HPLC-DAD-ESI-MS/MS method by their spectral characteristics or comparison with the authentic standards. Chemometrics techniques including similarity analysis (SA), principal components analysis (PCA) and hierarchical clustering analysis (HCA) were implemented to classify A. barbadensis samples. The results demonstrated that all A. barbadensis samples shared similar chromatographic patterns as well as differences. These achievements provided an effective, reliable and comprehensive quality control method for A. barbadensis. (C) 2015 Elsevier B.V. All rights reserved.