Evidence map›Paper›PMID 42865779›Full record

ArticleRSC advances2026

Molecular insights into the selective interaction of endocrine-disrupting chemicals with poly(mannuronate) in aqueous systems: a multiscale computational study.

Victoria T Adeleke, Khalid Osman, Samuel M Mugo, Madison M Lasich

Abstract read
In one paragraph

Article in RSC advances, 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
–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

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.

Victoria T AdelekeDepartment of Chemical Engineering, Mangosuthu University of Technology 511 Griffiths Mxenge Highway Umlazi 4031 South Africa.ORCID https://orcid.org/0000-0002-4495-0644
Khalid OsmanDepartment of Chemical Engineering, Mangosuthu University of Technology 511 Griffiths Mxenge Highway Umlazi 4031 South Africa.
Samuel M MugoDepartment of Physical Sciences, MacEwan University Edmonton AB T5J 4S2 Canada.ORCID https://orcid.org/0000-0002-0015-1947
Madison M LasichSchool of Engineering, University of KwaZulu-Natal, Howard College Campus Mazisi Kunene Road Durban 4041 South Africa LasichM@ukzn.ac.za.ORCID https://orcid.org/0000-0002-7849-6603

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Estrogens and other steroid hormones, also known as endocrine-disrupting chemicals (EDCs), are emerging contaminants in wastewater effluent due to human activities. Although these compounds play essential roles in medical treatments and modern agriculture, their release into the environment has raised concerns because of their potential ecological and health impacts. The selective removal of EDCs from aqueous environments is a challenge due to competition with water molecules for binding sites. This work presents a systematic computational investigation of the intermolecular interactions and phase equilibria of selected EDCs and water in the presence of poly(mannuronate), a principal component of the brown-algae-derived biopolymer alginate, with the key goal of informing the design of polysaccharide-based materials for water remediation. Atomistic molecular dynamics simulations were coupled with stochastic calculations and extended off-lattice Flory-Huggins theory to assess polymer flexibility, penetrant-polymer coordination numbers, binding energies, and binary phase equilibria. To complement thermodynamic analysis, quantum chemical calculations were performed on representative low-energy configurations. Results showed that both the quantity and spatial positioning of species bound to alginate can be tuned

Identifiers

PMID42865779
PMCPMC13655788

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.