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Journal of China Pharmaceutical University ; (6): 441-448, 2018.
Artigo em Chinês | WPRIM | ID: wpr-811742

RESUMO

@#A qualitative analysis was developed to identify different ingredients from three Ginkgo biloba preparations(including Yinxingye Diwan, extract of Ginkgo biloba leaves tablets and Yinxingtongzhi Diwan)based on high resolution mass spectrometry and metabolomics technology. An XSELECT HSS T3(4. 6 mm×150 mm, 3. 5 μm)column was used for separation, with the mobile phases consisting of acetonitrile and water containing 0. 1% formic acid. The column temperature was set at 40 °C. Negative ion mode was used for mass spectrometric data acquisition. Through partial least squares projection to latent structure-discriminant analysis(PLS-DA), we firstly found the different compounds among different Ginkgo biloba preparations. Subsequently, the compounds displaying different abundance levels via database searching and literature matching were identified. Finally, we identified 21 different compounds between the extract of Ginkgo biloba leaves tablets and Yinxingye Diwan, which mostly belong to the organic acids and flavonols families. Quantitative analysis showed that the ingredients which had higher abundance in extract of Ginkgo biloba leaves tablets were mainly organic acids, whereas those exhibiting higher levels in Yinxingye Diwan are flavonols. We also identified 12 different ingredients between the Yinxingye Diwan and Yinxingtongzhi Diwan, which were flavonols, sciadopitysin and organic acids. The results of this study are useful for studying different chemical constituents from distinct Ginkgo biloba preparations.

2.
Journal of China Pharmaceutical University ; (6): 727-733, 2016.
Artigo em Chinês | WPRIM | ID: wpr-811889

RESUMO

@#MALDI-MS is an emerging technique that enables rapid profiling of endogenous substances in a high throughput. Nevertheless, its application to metabolite analysis is often hindered by the presence of massive matrix background peaks using conventional matrices. Herein rhein was introduced as a novel matrix for MALDI-MS analysis of cation metabolites. Several strong and weak basic metabolites were measured using rhein. Compared to the previously reported ionless matrix NSA and conventional matrix CHCA, clean MALDI-MS spectra were obtained devoid of matrix signals. Subsequently, we applied this matrix to profile a biologically complex sample, mice intestinal contents. In addition, we have validated the applicability of rhein to MALDI-MS imaging, which allows for simultaneous mapping of hundreds of metabolites from single mouse ileum section. In summary, the discovery of rhein as a novel MALDI matrix enables efficient and reliable profiling and imaging of endogenous metabolites from biological samples with no matrix interferences, which will greatly promote the utility of MALDI-MS-based platform for metabolome studies.

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