کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1164203 | 1491012 | 2014 | 8 صفحه PDF | دانلود رایگان |
• Wooden-tip ESI-MS combining with multivariate statistical analysis was developed.
• Wooden-tip ESI-MS enabled direct analysis of complex samples.
• The reproducibility of wooden-tip ESI-MS was sufficient for metabolomics analysis.
• The system was powerful for rapid identification of species of plant materials.
The counterfeit plant products, especially by using incorrect plant materials in pharmaceutical industry, have become a global problem. The plant materials belonging to closely related species but differing in medicinal properties are difficult to be identified. Here, a novel and generally applicable approach to identify the sources of plant materials was developed, which was based on the use of wooden-tip electrospray ionization mass spectrometry (wooden-tip ESI-MS) and multivariate statistical analysis of unidentified MS features (non-targeted). Using this approach, six officinal species of Fritillariae Cirrhosae Bulbus had been successfully differentiated. In addition, Fritillariae Pallidiflorae Bulbus, a common adulterant of Fritillariae Cirrhosae Bulbus, was also identified by using the strategy reported here. Compared with DNA phylogenetic trees, our approach provided finer resolution in distinguishing the closely related Fritillaria species. By combining wooden-tip ESI-MS and multivariate statistical analysis, a useful method was developed here for rapid identification of the sources of herbs, which showed promising perspectives in tracking the supply chain of pharmaceutical suppliers.
Figure optionsDownload as PowerPoint slide
Journal: Analytica Chimica Acta - Volume 820, 11 April 2014, Pages 84–91