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  4. GIS-based Visualization of Elemental Distribution in Neoboletus Luridiformis Fruiting Body
 
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GIS-based Visualization of Elemental Distribution in Neoboletus Luridiformis Fruiting Body

Type
Journal article
Language
English
Date issued
2025
Author
Árvay, Július
Hauptvogl, Martin
Demková, Lenka
Jančo, Ivona
Jakabová, Silvia
Mleczek, Mirosław 
Faculty
Wydział Leśny i Technologii Drewna
PBN discipline
forestry
Journal
Biological Trace Element Research
ISSN
0163-4984
DOI
10.1007/s12011-024-04320-3
Web address
https://link.springer.com/article/10.1007/s12011-024-04320-3
Volume
203
Number
4
Pages from-to
2271–2283
Abstract (EN)
The fruiting body of Neoboletus luridiformis (Scarletina bolete) mushroom was used to determine the level of bioconcentration and subsequent distribution of seventeen elements (Ag, Al, Ba, Ca, Cd, Cr, Cu, Fe, K, Mg, Mn, Na, Ni, Pb, Se, Sr, and Zn). A two-centimeter-thick vertical section of the entire fruit body was divided into 101 partial sub-samples where the contents of the studied elements were determined using ICP OES. The actual distribution of the elements in the fruiting body profile was visualized using a GIS interpolation method resulting in distribution maps. The study provides valuable insights into the distribution patterns of 17 elements within the fruiting body of N. luridiformis. Based on the visualization of the elemental content, the determined elements can be divided into three categories. Elements accumulated primarily (i) in the cap (Al, Ag, Ca, Cd, Cu, Fe, K, Mg, Ni, and Zn), (ii) in the stipe (Ba, Mn, Na, Pb, and Se), and (iii) elements with non-specific distribution (Cr and Sr). Since such detailed information supported by graphical visualization has not been published to date, the information in this study will help to better understand the accumulation and distribution of elements within the fruiting bodies of wild as well as cultivated mushroom species.
Keywords (EN)
  • mushroom

  • bioconcentration

  • element

  • distribution

  • Neoboletus Luridiformis

  • GIS

License
cc-bycc-by CC-BY - Attribution
Open access date
July 27, 2025
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