Evidence map›Paper›PMID 41846872›Full record

ArticleEnvironmental science and ecotechnology2026

Phenolic contaminants generate persistent phenoxyl radicals to accelerate antibiotic degradation.

Liping Luo, Shiqing Zhou, Jianfei Zhou, Jingquan Wang, Han Wu, Hongguang Guo

Abstract read
In one paragraph

Article in Environmental science and ecotechnology, 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

6 authors.

Liping LuoState Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering, College of Architecture and Environment, Sichuan University, Chengdu, 610065, China.
Shiqing ZhouHunan Engineering Research Centre of Water Security Technology and Application, College of Civil Engineering, Hunan University, Changsha, 410082, China.
Jianfei ZhouKey Laboratory of Leather Chemistry and Engineering (Sichuan University), Ministry of Education, Chengdu, 610065, China.
Jingquan WangState Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering, College of Architecture and Environment, Sichuan University, Chengdu, 610065, China.
Han WuState Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering, College of Architecture and Environment, Sichuan University, Chengdu, 610065, China.
Hongguang GuoState Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering, College of Architecture and Environment, Sichuan University, Chengdu, 610065, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Water pollution by coexisting multiple contaminants presents escalating challenges to environmental remediation and public health protection. In advanced oxidation processes, contaminant interactions are invariably regarded as detrimental, introducing competitive reactions and matrix interferences that diminish treatment efficiency. However, phenolic compounds-a prevalent class of recalcitrant water pollutants-possess latent oxidative capabilities that remain strategically unexploited. Whether their reactivity can be harnessed to accelerate, rather than impede, the removal of priority contaminants remains fundamentally unclear. Here we show that in the permanganate/chlorite (Mn(VII)/ClO

Indexed as

ChloriteInteractions between contaminantsMn(VII)Phenoxyl radicals

Identifiers

PMID41846872
PMCPMC12990083

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.