Dual-Functional AgNPs/Magnetic Coal Fly Ash Composite for Wastewater Disinfection and Azo Dye Removal.

Lei Gong, Jiaxin Li, Rui Jin, Menghao Li, Jiajie Peng, Jie Zhu

Abstract read

In one paragraph

Article in Molecules (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing 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

1 citing paper in PubMed.

Green Synthesis of AgNPs fromNanomaterials (Basel, Switzerland) · 2025
Article

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

6 authors.

Lei GongNational-Local Joint Engineering Research Center of Biomass Refining and High-Quality Utilization, Institute of Urban & Rural Mining, Changzhou University, Changzhou 213164, China.

Jiaxin LiSchool of Petrochemical Engineering, Changzhou University, Changzhou 213164, China.

Rui JinSchool of Petrochemical Engineering, Changzhou University, Changzhou 213164, China.

Menghao LiSchool of Environment Science and Engineering, Changzhou University, Changzhou 213164, China.

Jiajie PengSchool of Environment Science and Engineering, Changzhou University, Changzhou 213164, China.

Jie ZhuNational-Local Joint Engineering Research Center of Biomass Refining and High-Quality Utilization, Institute of Urban & Rural Mining, Changzhou University, Changzhou 213164, China.

Funding

Project of Natural Science Research in Universities of Jiangsu Province；National Natural Science Foundation of China 22KJB530004; 22208030

6 · The paper itself

Abstract

In this study, we report the development of a novel magnetized coal fly ash-supported nano-silver composite (AgNPs/MCFA) for dual-functional applications in wastewater treatment: the efficient degradation of methyl orange (MO) dye and broad-spectrum antibacterial activity. The composite was synthesized via a facile impregnation-reduction-sintering route, utilizing sodium citrate as both a reducing and stabilizing agent. The AgNPs/MCFA composite was systematically characterized through multiple analytical techniques, including Fourier transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), transmission electron microscopy (TEM), X-ray diffraction (XRD), and vibrating sample magnetometry (VSM). The results confirmed the uniform dispersion of AgNPs (average size: 13.97 nm) on the MCFA matrix, where the formation of chemical bonds (Ag-O-Si) contributed to the enhanced stability of the material. Under optimized conditions (0.5 g·L

Indexed as

antibacterial activitymagnetized coal fly ashmethyl orange degradationnano-silver compositesustainable wastewater treatment

Identifiers

PMID40807330

DOI10.3390/molecules30153155

PMCPMC12348525

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.