Evidence map›Paper›PMID 42080919›Full record

ArticleRadiation and environmental biophysics2026

Naturally occurring radionuclides (NOR) and rare earth elements (REE) in soil and cereals in a high background area, Fen complex, Norway.

H Haanes, R Gjelsvik, J Hoftuft, J Brown

Abstract read
In one paragraph

Article in Radiation and environmental biophysics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

H HaanesNorwegian Radiation and Nuclear Safety Authority, P.O. box 55, Østerås, 1332, Norway. Hallvard.Haanes@dsa.no.
R GjelsvikNorwegian Radiation and Nuclear Safety Authority, P.O. box 55, Østerås, 1332, Norway.
J HoftuftNorwegian Radiation and Nuclear Safety Authority, P.O. box 55, Østerås, 1332, Norway.
J BrownNorwegian Radiation and Nuclear Safety Authority, P.O. box 55, Østerås, 1332, Norway.

Funding

Norges Forskningsråd 900009
6 · The paper itself

Abstract

Some areas of the world have high natural background levels of naturally occurring radionuclides (NOR) and/or rare earth elements (REE). With high background radiation risk, knowledge about, for example, uptake by crops is required in the process of assessing radiation doses to humans. In the Fen complex, in Norway, underlying bedrock has elevated levels of both NOR and REE. In Mining hill where these bedrocks surface and there are also legacy mines, soils also have high background levels. Most of Fen complex is, however, covered by thick Holocene deposits but some of its agricultural soils are situated near the areas of surfacing carbonatite bedrock and legacy mines. We assess whether there has been any influence on the levels in the agricultural soils within the Fen complex from the areas with high NOR and REE soil background. We also determine uptake from soils by cereals into grain or grain with hull, and present concentration ratios (CR) for NOR and REE in this high background area. In particular, the REE CRs are an important augmentation to existing sparse datasets. We furthermore assess whether uptake can be biased by any soil particles adhering to cereal grain or grain with hull. We investigate whether washing (or not washing) and use of different acids for dissolution may affect ICP-MS results on common elements. We also address soil mass in cereal samples using Scandium and Titanium as tracers for soil particles and assess the potential magnitude of bias CR.

Indexed as

Background RadiationEdible GrainMetals, Rare EarthRadioisotopesSoilSoil Pollutants, RadioactiveNorwayRadiation MonitoringMetals, Rare EarthRadioisotopesSoilSoil Pollutants, RadioactiveConcentration ratioDepositionHBRANOR and REE cereal uptakeRadiumThoriumUranium

Identifiers

PMID42080919
PMCPMC13303692

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.