Quality Assessment of Commercial Magnoliae Officinalis Cortex by 1H-NMR-based Metabolomics and HPLC Methods
| Autor: | Yves Barbin, Stéphane Balayssac, Sébastien Déjean, Bruno David, Julie Vaysse, Yong Jiang, Véronique Gilard, Christel Fiorini, Myriam Malet-Martino |
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| Rok vydání: | 2011 |
| Předmět: |
Honokiol
Plant Science 01 natural sciences Biochemistry High-performance liquid chromatography Analytical Chemistry chemistry.chemical_compound Metabolomics Cortex (anatomy) Drug Discovery medicine Chromatography biology 010405 organic chemistry Chemistry 010401 analytical chemistry General Medicine biology.organism_classification Magnolol 0104 chemical sciences 3. Good health Magnolia officinalis medicine.anatomical_structure Complementary and alternative medicine Officinalis Proton NMR Molecular Medicine Food Science |
| Zdroj: | Phytochemical Analysis. 23:387-395 |
| ISSN: | 0958-0344 |
| DOI: | 10.1002/pca.1369 |
| Popis: | Introduction The quality control of Magnoliae officinalis Cortex, a commonly used traditional Chinese medicine, is currently based on the assay of the two active compounds, honokiol and magnolol, by TLC or HPLC. Objective To compare 1H-NMR-based metabolomics with the HPLC method for controlling the quality of Magnoliae officinalis Cortex. To identify the metabolites contributing to the differences between the samples and to discriminate different medicinal parts and geographic origins of these samples by 1H-NMR-based metabolomics. Methodology 1H-NMR and several multivariate analysis techniques were applied to analyse the extracts of 18 batches of Magnoliae officinalis Cortex commercial samples, and the contents of honokiol and magnolol in these samples were determined by HPLC. The correlation analysis between the data from 1H-NMR and HPLC was performed with the mixOmics software based on an unsupervised method. Results Honokiol and magnolol were the main compounds responsible for the discrimination of samples from different batches, thus proving that the choice of these two compounds as markers for quality assessment by HPLC is relevant. The two sources of Magnoliae officinalis Cortex recorded in the Chinese Pharmacopoeia, Magnolia officinalis and Magnolia officinalis var. biloba, could be differentiated from 1H-NMR data, but the pattern recognition analysis by PLS-DA was unsuccessful in discriminating samples from various geographical origins. Conclusion The combination of 1H-NMR that gives a comprehensive profile of the metabolites and HPLC that targets two biomarkers is an efficient means for a better quality control of Magnoliae officinalis Cortex. Copyright © 2011 John Wiley & Sons, Ltd. |
| Databáze: | OpenAIRE |
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