Evidence map›Paper›PMID 42219703›Full record

ArticleEnvironmental science & technology2026

Universal Apparent Quantum Yield Model Manifests a Dual Role of Dissolved Organic Matter as Sensitizer and Inhibitor of Methylmercury Photodegradation in Lakes.

Andrea G Bravo, Torfi Geir Hilmarsson, Birgit Koehler, Erik Björn, Anders V Lindfors, Tomas Landelius, Sergi Díez, Stefan Bertilsson, Ulf Skyllberg

Abstract read
In one paragraph

Article in Environmental science & technology, 2026. 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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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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

9 authors.

Andrea G BravoDepartment of Marine Biology and Oceanography, Institut de Ciències del Mar, ICM-CSIC, Barcelona E-08003, Spain.
Torfi Geir HilmarssonDepartment of Ecology and Genetics, Limnology, University of Uppsala, Uppsala SE-75236, Sweden.
Birgit KoehlerDepartment of Ecology and Genetics, Limnology, University of Uppsala, Uppsala SE-75236, Sweden.ORCID 0000-0001-9212-2555
Erik BjörnDepartment of Chemistry, Umeå University, Umeå SE-90187, Sweden.ORCID 0000-0001-9570-8738
Anders V LindforsFinnish Meteorological Institute, Helsinki FI-00101, Finland.ORCID 0000-0001-9305-0864
Tomas LandeliusSwedish Meteorological and Hydrological Institute, Norrköping SE-601 76, Sweden.
Sergi DíezDepartment of Environmental Chemistry, Institute of Environmental Assessment and Water Research, IDAEA-CSIC, Barcelona E-08034, Spain.
Stefan BertilssonDepartment of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences, Uppsala SE-75007, Sweden.
Ulf SkyllbergDepartment of Forest Ecology and Management, Swedish University of Agricultural Sciences, Umeå SE-90183, Sweden.ORCID 0000-0001-6939-8799

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Photodegradation in lakes is a major sink for the toxin methylmercury (MeHg) in forest-wetland-lake ecosystems. Previous attempts to estimate annual rates of MeHg photodegradation in lakes have followed a "black-box approach", where the process has been related to incident sunlight rather than photon absorption. Here we use experimental data from three contrasting dark and clear boreal lakes to develop the first apparent quantum yield (AQY) model for spectral MeHg photodegradation rates in lakes. The model was proven universal by its ability to predict experimental data from 22 lakes representing five global regions, covering wide ranges in dissolved organic carbon (DOC), specific UV absorbance at 254 nm, and pH (1.8-39.5 mg C L

Indexed as

Dissolved Organic MatterLakesMethylmercury CompoundsPhotolysisDissolved Organic MatterMethylmercury CompoundsChromophoric Dissolved Organic MatterLakesMethylmercuryPhotodegradation

Identifiers

PMID42219703
PMCPMC13276896

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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.