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ArticleBiological trace element research2025

Trace Element and Mineral Content in Medicinal Plants Collected in the Altai Mountains Foothills.

Alexey A Tinkov, Tatiana V Korobeinikova, Oksana V Baranova, Jung-Su Chang, Jane C-J Chao, Elena V Rylina, N Tejo Prakash, Olga N Nemereshina, Anatoly V Skalny

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Article in Biological trace element research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

9 authors.

Alexey A TinkovLaboratory of Ecobiomonitoring and Quality Control, Yaroslavl State University, Yaroslavl, 150003, Russia.
Tatiana V KorobeinikovaCenter of Bioelementology and Human Ecology, IM Sechenov First Moscow State Medical University (Sechenov University), Moscow, 119146, Russia.
Oksana V BaranovaInstitute of Bioelementology, Orenburg State University, Orenburg, 460018, Russia.
Jung-Su ChangSchool of Nutrition and Health Sciences, and, Graduate Institute of Metabolism and Obesity Sciences, College of Nutrition , Taipei Medical University, Taipei, 11031, Taiwan.
Jane C-J ChaoSchool of Nutrition and Health Sciences, and, Graduate Institute of Metabolism and Obesity Sciences, College of Nutrition , Taipei Medical University, Taipei, 11031, Taiwan.
Elena V RylinaDepartment of Medical Elementology, Peoples' Friendship, University of Russia, RUDN University), Moscow, 117198, Russia.
N Tejo PrakashSchool of Energy and Environment, Department of Biotechnology, Thapar Institute of Engineering and Technology, Patiala, India.
Olga N NemereshinaDepartment of Biochemistry, Orenburg State Medical University, Orenburg, 460018, Russia.
Anatoly V SkalnyCenter of Bioelementology and Human Ecology, IM Sechenov First Moscow State Medical University (Sechenov University), Moscow, 119146, Russia. skalny3@gmail.com.

Funding

Foundation for Assistance to Small Innovative Enterprises in Science and Technology 379GRNTIS5/42620
6 · The paper itself

Abstract

The objective of the present study was to assess the patterns of trace element and mineral accumulation in 21 medicinal plants collected in the Altai Mountains foothills. The levels of trace elements and minerals in Hippophae rhamnoides, Aronia melanocarpa, Sorbus aucuparia, Viburnum opulus, Rosa canina, Crataegus sanguinea (fruits), Chamaenerion angustifolium, Echinacea purpurea, Fagopyrum esculentum, Trifolium pratense, Origanum vulgare, Achillea millefolium, Mentha piperita (herbs), Plantago major, Salvia officinalis, Urtica dioica (leaves), Panax ginseng, Rhaponticum carthamoides, Eleuterococcus senticosus, and Taraxacum officinale (roots), and Matricaria recutita flowers were assessed using inductively-coupled plasma mass-spectrometry. Comparative analysis revealed that R. carthamoides roots accumulated the highest level of toxic trace elements (Al, Cd, Ni, Pb). C. angustifolium herbs and V. opulus fruits are characterized by the highest As and Sn levels, respectively. The highest content of essential trace elements and minerals was observed in H. rhamnoides fruits (Zn), V. opulus fruits (Cu), E. purpurea herbs (I, Mg), R. carthamoides roots (Fe), O. vulgare herbs (Mn), and M. recutita herbs (Se). In turn, R. canina fruits are characterized by the lowest levels of certain essential and toxic trace elements. Significant differences in B, Cr, Li, Si, and Sr content were also revealed. Discriminant analysis revealed complete discrimination of certain medicinal plants based on their trace element and mineral content. The obtained data indicate the potential usefulness of medicinal plants as sources of certain essential trace elements and minerals, as well as provides data for risk assessment of toxic trace element intake following administration of medicinal plants.

Indexed as

MineralsPlants, MedicinalTrace ElementsMineralsTrace ElementsFruitsHerbsMedicinal plantsRootsTrace elements

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.