Metabolomics driven analysis of artichoke leaf and its commercial products via UHPLC-q-TOF-MS and chemometrics

被引:91
|
作者
Farag, Mohamed A. [1 ]
El-Ahmady, Sherweit H. [2 ]
Elian, Fatma S. [3 ]
Wessjohann, Ludger A. [4 ]
机构
[1] Cairo Univ, Coll Pharm, Dept Pharmacognosy, Cairo, Egypt
[2] Ain Shams Univ, Coll Pharm, Dept Pharmacognosy, Cairo, Egypt
[3] Inst Hort Res, Potato & Vegetatively Propagated Vegetables Dept, Giza, Egypt
[4] Leibniz Inst Plant Biochem, Dept Bioorgan Chem, D-06120 Halle, Saale, Germany
关键词
Cynara scolymus L. (Asteraceae); UHPLC-MS; Principal component analysis; Quality control; Artichoke; CYNARA-SCOLYMUS L; CULTURED RAT HEPATOCYTES; MASS-SPECTROMETRY; GLOBE ARTICHOKE; CAFFEOYLQUINIC ACIDS; PLANT METABOLOMICS; PHENOLIC-COMPOUNDS; SESQUITERPENE GLYCOSIDES; LIQUID-CHROMATOGRAPHY; ARABIDOPSIS-THALIANA;
D O I
10.1016/j.phytochem.2013.07.003
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The demand to develop efficient and reliable analytical methods for the quality control of herbal medicines and nutraceuticals is on the rise, together with an increase in the legal requirements for safe and consistent levels of active principles. Here, we describe an ultra-high performance liquid chromatography method (UHPLC) coupled with quadrupole high resolution time of flight mass spectrometry (qTOF-MS) analysis for the comprehensive measurement of metabolites from three Cynara scolymus (artichoke) cultivars: American Green Globe, French Hyrious, and Egyptian Baladi. Under optimized conditions, 50 metabolites were simultaneously quantified and identified including: eight caffeic acid derivatives, six saponins, 12 flavonoids and 10 fatty acids. Principal component analysis (PCA) was used to define both similarities and differences among the three artichoke leaf cultivars. In addition, batches from seven commercially available artichoke market products were analysed and showed variable quality, particularly in caffeic acid derivatives, flavonoid and fatty acid contents. PCA analysis was able to discriminate between various preparations, including differentiation between various batches from the same supplier. To the best of our knowledge, this study provides the first approach utilizing UHPLC-MS based metabolite fingerprinting to reveal secondary metabolite compositional differences in artichoke leaf extracts. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:177 / 187
页数:11
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