E3S Web Conf.
Volume 105, 2019IVth International Innovative Mining Symposium
|Number of page(s)||5|
|Section||Environment Problems in Mining Regions|
|Published online||21 June 2019|
Quality Numerical Indicators of Raw Materials of Sanguisorba Officinalis L. Growing on Overburden Dumps of Kuzbass Coal Surface Mines
The Federal Research Center of Coal and Coal Chemistry of SB RAS (Institute of Human Ecology of the SB RAS), Leningradskiy avenue, 10, Kemerovo, 650065, Russia
2 Kemerovo State Medical University, Voroshilov street, 22a, Kemerovo, 650056, Russia
* Corresponding author: firstname.lastname@example.org
Medicinal plant materials quality assessment of the Sanguisorba officinalis L. growing on the Kedrovsky coal mine dumps in Kemerovo region is given. The analysis of obtained burnet raw material quality indicators (moisture, total ash, insoluble in hydrochloric acid, quantitative content of tannins, heavy metals, radionuclides) showed that this vegetable raw material match with the requirements of PhI.2.5.0078.18 “Sanguisorba officinalis L. rhizome and roots”. Tannins average content in the burnet rhizomes and roots was 15.708 ± 0.307%, which is within the normal range (up to 14%). It was found that the heavy metals (Pb, Cd, Hg) content does not exceed the MPC adopted for medicinal plant raw materials (G.Ph.A.5.5.000.0009.15). The obtained indicators for the artificial radionuclides (Cs-137, Sr-90) content showed that their quantity in the raw material is also within the normal range and their actual content is several times less than the normalized one. From the point of radiological safety view the studied raw materials are not dangerous since they accumulate 0.36% Sr-90 and 0.42% Cs-137 from the levels established by regulatory documentation. Therefore, the burnet medicinal plant raw material harvested at the Kedrovsky open-pit coal mine on the territory of waste dump does not represent a danger to human health.
© The Authors, published by EDP Sciences, 2019
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.