Geochemical insights into plant uptake of Technology-critical elements: A case study on lettuce from European soils

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F25%3A102687" target="_blank" >RIV/60460709:41330/25:102687 - isvavai.cz</a>

Result on the web

<a href="https://www.sciencedirect.com/science/article/pii/S004565352500013X#kwrds0010" target="_blank" >https://www.sciencedirect.com/science/article/pii/S004565352500013X#kwrds0010</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.chemosphere.2025.144073" target="_blank" >10.1016/j.chemosphere.2025.144073</a>

Result language

angličtina

Original language name

Geochemical insights into plant uptake of Technology-critical elements: A case study on lettuce from European soils

Original language description

While vegetable uptake of traditional metal contaminants is a well-studied pathway to human exposure and risk, a paucity of information exists on the uptake of emerging metal contaminants. This study evaluated the uptake of the Technology-critical elements (TCEs) gallium (Ga), germanium (Ge), niobium (Nb), tantalum (Ta), thallium (Tl), and rare earth elements (REEs) into lettuce cultivated in 21 European urban soils. For comparison, the uptake of cadmium (Cd) was also analysed. First, the uptake was predicted by multiplying soil concentrations with previously established bioconcentration factors (BCFs). Subsequently, multiple regression models incorporating geochemical variables as predictors were used to determine whether prediction accuracy could be improved. A “3-predictor model” incorporated soil TCE concentration, pH, and organic matter (OM), and a “7-predictor model” added data on clay content and the soil concentrations of Fe, Al, and Mn as well. With the exception of Cd, Ge, and Tl, the BCF approach provided unsatisfactory predictions (R2 < 0.5), while the 7-predictor models yielded the best predictions, even when accounting for the greater number of predictors. While the most important predictors of uptake varied somewhat between the TCEs, the concentrations of TCEs in the soil generally explained the largest proportion of the variation. The least influential predictors in our dataset were [Mnsoil], [Fesoil], and soil OM. Incorporating geochemical data generally improved the predictions of uptake by lettuce, and these findings underscore the need for more detailed characterisations of the uptake potential of TCEs by food plants and subsequent consequences for human health.

Czech name

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Czech description

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Type

J_SC - Article in a specialist periodical, which is included in the SCOPUS database

CEP classification

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OECD FORD branch

10511 - Environmental sciences (social aspects to be 5.7)

Project

<a href="/en/project/EF16_026%2F0008403" target="_blank" >EF16_026/0008403: Responsible water management in built-up areas in relation to the surrounding landscape</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Chemosphere

ISSN

0045-6535

e-ISSN

0045-6535

Volume of the periodical

144073

Issue of the periodical within the volume

2025

Country of publishing house

GB - UNITED KINGDOM

Number of pages

13

Pages from-to

1-13

UT code for WoS article

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EID of the result in the Scopus database

2-s2.0-85214330865