Evidence map›Paper›PMID 37190938›Full record

ArticleEnvironmental science & technology2023

Two-Dimensional Mapping of Arsenic Concentration and Speciation with Diffusive Equilibrium in Thin-Film Gels.

Andrea Castillejos Sepúlveda, Edouard Metzger, Sten Littmann, Heidi Taubner, Arjun Chennu, Lais Gatti, Dirk de Beer, Judith M Klatt

Open access · hybridAbstract read
In one paragraph

Article in Environmental science & technology, 2023. 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
1.0field-weighted citation impact, top 28% of its field
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, 7 citations in OpenAlex.

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

8 authors at 5 institutions in 2 countries.

Andrea Castillejos SepúlvedaMicrosensor Group, Max Planck Institute for Marine Microbiology, Celsiusstraße 1, Bremen 28359, Germany.ORCID 0000-0002-1414-8626
Edouard MetzgerLaboratoire de Planétologie et Géosciences, Université d'Angers, Nantes Université, Le Mans Université, CNRS UMR 6112, Angers 49045, France.
Sten LittmannBiogeochemistry Group, Max Planck Institute for Marine Microbiology, Celsiusstraße 1, Bremen 28359, Germany.
Heidi TaubnerMARUM Center for Marine Environmental Science and Faculty of Geosciences, Organic Geochemistry Group, University of Bremen, Leobener Str. 8, Bremen 28359, Germany.
Arjun ChennuData Science and Technology, Leibniz Centre for Tropical Marine Research, Fahrenheitstr. 6, Bremen 28359, Germany.ORCID 0000-0002-0389-5589
Lais GattiMicrosensor Group, Max Planck Institute for Marine Microbiology, Celsiusstraße 1, Bremen 28359, Germany.
Dirk de BeerMicrosensor Group, Max Planck Institute for Marine Microbiology, Celsiusstraße 1, Bremen 28359, Germany.ORCID 0000-0001-5274-1781
Judith M KlattMicrosensor Group, Max Planck Institute for Marine Microbiology, Celsiusstraße 1, Bremen 28359, Germany.
Max Planck Institute for Marine Microbiology · DECentre National de la Recherche Scientifique · FRLeibniz Centre for Tropical Marine Research · DEPhilipps University of Marburg · DEUniversity of Bremen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a new approach combining diffusive equilibrium in thin-film gels and spectrophotometric methods to determine the spatial distribution of arsenite, arsenate, and phosphate at submillimeter resolution. The method relies on the simultaneous deployment of three gel probes. Each retrieved gel is exposed to malachite green reagent gels differing in acidity and oxidant addition, leading to green coloration dependent on analyte speciation and concentration. Hyperspectral images of the gels enable mapping the three analytes in the 2.5-20 μM range. This method was applied in a contaminated brook in the Harz mountains, Germany, together with established mapping of dissolved iron. The use of two-dimensional (2D) gel probes was compared to traditional porewater extraction. The gels revealed banded porewater patterns on a mm-scale, which were undetectable using traditional methods. Small-scale correlation analyses of arsenic and iron microstructures in the gels suggested active iron-driven local redox cycling of arsenic. Overall, the results indicate continuous net release of arsenic from contaminant particles and deepen our understanding of arsenate transformation under anaerobic conditions. This study is the first fine-scale 2D characterization of arsenic speciation in porewater and represents a crucial step toward understanding the transfer and redox cycling of arsenic in contaminated sediment/soil ecosystems.

Indexed as

ArsenicArsenatesEcosystemGelsIronArsenatesArsenicarsenic acidGelsIronarsenatearseniteelement mappingphosphateproberedox reaction

Identifiers

PMID37190938
PMCPMC10233794
OpenAlexW4376642195

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.