Evidence map›Paper›PMID 40342282›Full record

ArticleSmall methods2026

Tailorable Nanoparticles for Magnetic Water Cleaning of Polychlorinated Biphenyls.

Lukas Müller, Anna Zehetmeier, Anna Höfling, Henrik Gaß, Johannes Voß, Daniel Krappmann, Linda Rockmann, Elias Harrer, Dirk Zahn, Andreas Hirsch and 1 more

Abstract read
In one paragraph

Article in Small methods, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Magnetic Water Cleaning of Estrogens via Tight yet Dynamic Binding to Nanoparticles.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  2. Article
  3. Review
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

11 authors.

Lukas MüllerOrganic Materials & Devices, Institute of Polymer Materials, Interdisciplinary Center for Nanostructured Films (IZNF), Friedrich-Alexander-Universität Erlangen-Nürnberg, 91058, Erlangen, Germany.ORCID https://orcid.org/0000-0001-9566-5897
Anna ZehetmeierOrganic Materials & Devices, Institute of Polymer Materials, Interdisciplinary Center for Nanostructured Films (IZNF), Friedrich-Alexander-Universität Erlangen-Nürnberg, 91058, Erlangen, Germany.ORCID https://orcid.org/0009-0005-4782-9953
Anna HöflingOrganic Materials & Devices, Institute of Polymer Materials, Interdisciplinary Center for Nanostructured Films (IZNF), Friedrich-Alexander-Universität Erlangen-Nürnberg, 91058, Erlangen, Germany.
Henrik GaßOrganic Materials & Devices, Institute of Polymer Materials, Interdisciplinary Center for Nanostructured Films (IZNF), Friedrich-Alexander-Universität Erlangen-Nürnberg, 91058, Erlangen, Germany.ORCID https://orcid.org/0000-0002-9762-114X
Johannes VoßOrganic Materials & Devices, Institute of Polymer Materials, Interdisciplinary Center for Nanostructured Films (IZNF), Friedrich-Alexander-Universität Erlangen-Nürnberg, 91058, Erlangen, Germany.ORCID https://orcid.org/0009-0006-5662-3890
Daniel KrappmannChair of Organic Chemistry II, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91058, Erlangen, Germany.ORCID https://orcid.org/0009-0004-4035-9947
Linda RockmannOrganic Materials & Devices, Institute of Polymer Materials, Interdisciplinary Center for Nanostructured Films (IZNF), Friedrich-Alexander-Universität Erlangen-Nürnberg, 91058, Erlangen, Germany.ORCID https://orcid.org/0009-0005-4296-104X
Elias HarrerComputer Chemistry Center, Chair of Theoretical Chemistry, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91052, Erlangen, Germany.ORCID https://orcid.org/0009-0008-1816-8449
Dirk ZahnComputer Chemistry Center, Chair of Theoretical Chemistry, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91052, Erlangen, Germany.ORCID https://orcid.org/0000-0002-4303-3422
Andreas HirschChair of Organic Chemistry II, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91058, Erlangen, Germany.ORCID https://orcid.org/0000-0003-1458-8872
Marcus HalikOrganic Materials & Devices, Institute of Polymer Materials, Interdisciplinary Center for Nanostructured Films (IZNF), Friedrich-Alexander-Universität Erlangen-Nürnberg, 91058, Erlangen, Germany.ORCID https://orcid.org/0000-0001-5976-0862

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anthropogenic persistent organic pollutants pose a pressing threat to the environment and human health. They can be found in water bodies all around the world at low but hazardous concentrations. Typical representatives of this contaminant class are polychlorinated biphenyls (PCBs). Here, nanoparticulate core-shell water cleaning agents are presented, which are able to remove PCBs of various chlorination degrees from water. The core consists of superparamagnetic iron oxide nanoparticles (SPIONs) providing a large surface area that can be tuned via self-assembled monolayers (SAMs) composed of phosphonic acid derivates. This shell binds the pollutants non-covalently enabling facile magnetic water remediation. By employing positively charged or hydrophobic SAMs different PCBs can be preferentially removed. Furthermore, these orthogonal functionalities can be integrated into one SPION system. By combining charged and hydrophobic phosphonic acid derivates in so-called binary SAMs the removal preference can be convoluted, which works just as well in real river water. The cost-efficient availability of the base materials for these tailorable nanoparticles is complemented with recyclability laying the foundation for a sustainable water cleaning process.

Indexed as

persistent organic pollutantspolychlorinated biphenylsself‐assembled monolayerssuperparamagnetic iron oxide nanoparticlestailorable adsorptionwater remediation

Identifiers

PMID40342282
PMCPMC12825353

What OpenQuestion holds

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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.