327
Views
5
CrossRef citations to date
0
Altmetric
Original Articles

Comparison of nutrient concentrations in leaves of five plants

, &
Pages 239-247 | Received 25 Jun 2014, Accepted 10 Nov 2014, Published online: 29 Nov 2016
 

ABSTRACT

The paper describes investigation on bioaccumulation of mineral elements and identification of plants based on the concentrations of the elements in the plant leaves. Five native plant species (Elytrigia repens, Plantago major, Urtica dioica, Chelidonium majus, and Taraxacum officinale) were studied. To exclude the effects from different growth conditions and developmental stages, the plants were collected simultaneously from the same site (park in St. Petersburg, Russia). It was found that for all plants high concentrations of potassium, sodium, phosphorus and magnesium (K, Na, P, and Mg) were typical, while concentrations of zinc (Zn) and copper (Cu) were the lowest. The most significant difference was found between concentrations of elements in monocots and eudicots. Among other species, T. officinale had the highest concentrations of almost all elements. Excellent separation of the plants into different groups which was due to different element concentrations in the plant leaves was demonstrated.

Acknowledgements

We would like to acknowledge PhD Åsa Bengtsson, Swedish University of Agriculture, for providing the equipment used in the digestion of samples.

Funding

Irina Shtangeeva is grateful to the Nordic Council of Ministers Arctic Cooperation program for financial support of her travel to Sweden.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 495.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.