Investigations of metallic elements and phenolics in Chinese medicinal plants
| Autor: | Marek Wesolowski, Lukasz Bielski, Agnieszka Viapiana, Aleksej Zarkov, Pawel Konieczynski, Mateusz Kaszuba |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Chemistry
phenolics 010401 analytical chemistry 02 engineering and technology General Chemistry 021001 nanoscience & nanotechnology 01 natural sciences 0104 chemical sciences metallic elements Metal tcm lcsh:Chemistry lcsh:QD1-999 visual_art Environmental chemistry Materials Chemistry visual_art.visual_art_medium statistical methods TCM civilization diseases 0210 nano-technology Medicinal plants |
| Zdroj: | Open chemistry, Warszaw : De Gruyter, 2020, vol. 18, no. 1, p. 1381-1390 Open Chemistry, Vol 18, Iss 1, Pp 1381-1390 (2020) |
| ISSN: | 2391-5420 |
| Popis: | Traditional Chinese Medicines (TCM) can be contaminated with heavy metals, and therefore, the aim of this study is to analyze the Fe, Mn, Zn, Cu, Cd, Pb, Cr, and phenolic compounds contents in TCM plants used against civilization diseases. Metals were determined by flame atomic absorption spectroscopy (FAAS) for Fe, Mn, Zn, and Cu and inductively coupled plasma-optical emission spectroscopy (ICP-OES) for Pb, Cd, and Cr. The total phenolic, flavonoid, and phenolic acid contents were determined by HPLC and UV/vis spectrometry. The contents of the studied elements were highest in Radix Rehmanniae, whereas lowest in Fructus Lycii and Fructus Crataegi. The studied metals were assayed in the decreasing order: Fe, Zn, Mn, Cu, Cr, Pb, and Cd. Radix Rehmanniae Glutinosae Preparata showed the lowest phenolic composition, while Fructus Lycii showed the richest content. Principal component analysis (PCA) revealed that the contents of ferulic acid, caffeic acid, rutin, and Cu, Cr, and Cd were among the most important factors responsible for the differentiation between the investigated medicinal plants. Cluster analysis (CA) showed that the TCM samples originating from the same botanical plant species were often found in the same cluster, which confirms the similar level of studied elements determined within the samples. |
| Databáze: | OpenAIRE |
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