Synergistic activation of peroxymonosulfate by highly dispersed iron-based sulfur-nitrogen co-doped porous carbon for bisphenol a removal: mechanistic insights and selective oxidation.

Yu Sun, Chuning Zhang, Yan Jia, Yalei Zhang, Jianwei Fan

Abstract read

In one paragraph

Article in RSC advances, 2025. 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

5 authors.

Yu SunState Key Laboratory of Pollution Control and Resources Reuse, College of Environmental Science and Engineering, Shanghai Institute of Pollution Control and Ecological Security, Tongji University Shanghai 200092 P.R. China jiay@tongji.edu.cn.

Chuning ZhangState Key Laboratory of Pollution Control and Resources Reuse, College of Environmental Science and Engineering, Shanghai Institute of Pollution Control and Ecological Security, Tongji University Shanghai 200092 P.R. China jiay@tongji.edu.cn.

Yan JiaState Key Laboratory of Pollution Control and Resources Reuse, College of Environmental Science and Engineering, Shanghai Institute of Pollution Control and Ecological Security, Tongji University Shanghai 200092 P.R. China jiay@tongji.edu.cn.ORCID https://orcid.org/0009-0007-4702-7891

Yalei ZhangState Key Laboratory of Pollution Control and Resources Reuse, College of Environmental Science and Engineering, Shanghai Institute of Pollution Control and Ecological Security, Tongji University Shanghai 200092 P.R. China jiay@tongji.edu.cn.ORCID https://orcid.org/0000-0001-8845-4063

Jianwei FanState Key Laboratory of Pollution Control and Resources Reuse, College of Environmental Science and Engineering, Shanghai Institute of Pollution Control and Ecological Security, Tongji University Shanghai 200092 P.R. China jiay@tongji.edu.cn.ORCID https://orcid.org/0000-0003-2488-945X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Efficient and pervasive solutions are urgently needed to mitigate pollution from emerging contaminants in aquatic environments. Activation of peroxymonosulfate (PMS) is commonly employed to remove refractory organic pollutants from water. Herein, we synthesized sulfur-nitrogen co-doped porous carbon materials loaded with highly dispersed iron species (FeSNC) using template-assisted and ligand site construction methods. The uniform doping of N, S, and Fe in the carbon substrate, along with their synergistic effects, significantly enhanced catalytic activity by creating a high degree of defects in the catalyst (

Identifiers

PMID39931408

DOI10.1039/d4ra08729a

PMCPMC11808356

What OpenQuestion holds

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LicenceCC BY-NC

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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.