Trace element status of plant for standardizing of herb raw material

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Introduction. Standardizing herb raw material which guarantees the reproducibility of the quality of phytomedicines is important procedure for plants sources having multicomponent composition of biologically active compounds. The trace element composition plants is determined primarily by the species of the plant like as biological compound composition. The formed cluster of high-quality herb raw material should differ significantly from the non-quality one.

Objective: Assess the possibility of using clusters of trace element statuses for standardization of phytomedicine «Thymi serpyllii herba».

Material and methods. The above-ground shoots of Thymus vulgaris L., Th. serpyllum L., Th. marschallianus Willd., Th. iljinii Klokov & Des.-Shost., and Ziziphora clinopodioides Lam. In addition, the objects of the study were: a phytomedicine from pharmacy assortment «Thymi serpyllii herba» (as a reference drug) and created mixtures of thyme and ziziphora as samples that did not meet the requirements of the standard. The content of trace elements was determined by mass spectroscopy with inductively coupled plasma.

Results. It was established samples of wild thyme and pharmacy phytomedicine which was taken as a standard, form one cluster that is different from the others. At the same time, raw materials Th. serpyllum with an adulterant of Ziziphora clinopodioides fall into clusters different from the cluster of quality samples of Th. serpyllum.

Conclusion. As a result of the work carried out, it was established that the trace element composition of plants allows, using the method of cluster analysis, to form a certain reference cluster.

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作者简介

Dmitriy Kruglov

Novosibirsk State Medical University

编辑信件的主要联系方式.
Email: kruglov_ds@mail.ru
ORCID iD: 0000-0002-6027-5730

PhD in Technical Sciences, Associate Professor, Associate Professor at the Department of Pharmacognosy and Botany of Novosibirsk State Medical University

俄罗斯联邦, Krasny prospect, 52, Novosibirsk, 630091

Daria Prokuscheva

Novosibirsk State Medical University

Email: mak_dl@mail.ru
ORCID iD: 0009-0009-0480-2311

PhD in Pharmaceutical Sciences, Associate Professor, Associate Professor at the Department of Pharmacognosy and Botany of Novosibirsk State Medical University

俄罗斯联邦, Krasny prospect, 52, Novosibirsk, 630091

Viktoriya Velichko

Novosibirsk State Medical University

Email: velichkvik@rambler.ru
ORCID iD: 0000-0002-9224-9350

PhD in Pharmaceutical Sciences, Associate Professor, Head of Department of Pharmacognosy and Botany of Novosibirsk State Medical University

俄罗斯联邦, Krasny prospect, 52, Novosibirsk, 630091

参考

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  3. Tikhonov L.A. An overview of capabilities for cluster analysis of data found in the statistica advanced software package. Polytechnichnij molodezhnij zhurnal. 2018; 01: 1–10. doi: 10.18698/2541-8009-2018-01-230 (in Russian)
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补充文件

附件文件
动作
1. JATS XML
2. Ierarchical clustering tree (a standard cluster is selected, which was taken as a quality cluster for raw material Thymi serpylli herba)

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