Evidence map›Paper›PMID 41287897›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Nanoconfinement-Steered Molecular Preorganization Enables Efficient Monoethanolamine Degradation through Electronically Modulated High-Valent Iron-Oxo Pathways.

Lin Zhang, Qin Dai, Xinyue Chen, Hang Yuan, Lei Xing, Zhimo Fang, Xiuze Li, Xiangke Wang, Lihui Zhang, Junping Zhao and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. 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.

  1. 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

12 authors.

Lin ZhangMOE Key Laboratory of Resources and Environmental Systems Optimization, College of Environmental Science and Engineering, North China Electric Power University, Beijing, 102206, P. R. China.
Qin DaiMOE Key Laboratory of Resources and Environmental Systems Optimization, College of Environmental Science and Engineering, North China Electric Power University, Beijing, 102206, P. R. China.
Xinyue ChenMOE Key Laboratory of Resources and Environmental Systems Optimization, College of Environmental Science and Engineering, North China Electric Power University, Beijing, 102206, P. R. China.
Hang YuanMOE Key Laboratory of Resources and Environmental Systems Optimization, College of Environmental Science and Engineering, North China Electric Power University, Beijing, 102206, P. R. China.
Lei XingMOE Key Laboratory of Resources and Environmental Systems Optimization, College of Environmental Science and Engineering, North China Electric Power University, Beijing, 102206, P. R. China.
Zhimo FangNational Engineering Research Center of New Energy Power Generation, North China Electric Power University, Beijing, 102206, P. R. China.
Xiuze LiMOE Key Laboratory of Resources and Environmental Systems Optimization, College of Environmental Science and Engineering, North China Electric Power University, Beijing, 102206, P. R. China.
Xiangke WangMOE Key Laboratory of Resources and Environmental Systems Optimization, College of Environmental Science and Engineering, North China Electric Power University, Beijing, 102206, P. R. China.
Lihui ZhangInstitute of Energy Resources, Hebei Academy of Sciences, Shijiazhuang, 050081, P. R. China.
Junping ZhaoInstitute of Energy Resources, Hebei Academy of Sciences, Shijiazhuang, 050081, P. R. China.
Qiangwei LiMOE Key Laboratory of Resources and Environmental Systems Optimization, College of Environmental Science and Engineering, North China Electric Power University, Beijing, 102206, P. R. China.
Lidong WangMOE Key Laboratory of Resources and Environmental Systems Optimization, College of Environmental Science and Engineering, North China Electric Power University, Beijing, 102206, P. R. China.ORCID https://orcid.org/0000-0003-2232-5589

Funding

Beijing Natural Science Foundation 8232046Fundamental Research Funds for the Central Universities 2025MS055High-performance Computing Platform of North China Electric Power UniversityNational Key Research and Development Program of China SQ2024YFE0201308National Natural Science Foundation of China 52300134,22176057National Science Fund for Distinguished Young Scholars 52325004Postdoctoral Fellowship Program of CPSF GZC20250431Science and Technology Project of Hebei Academy of Sciences 25701U.S. Environmental Protection Agency
6 · The paper itself

Abstract

While nanoconfinement effectively stabilizes ultrasmall metal nanoparticles to enhance peroxymonosulfate (PMS) activation in Fenton-like systems, precise control over reaction pathways remains challenging. To address this, ultrasmall UiO-66─ZrFe nanoparticles within a π-electron-enriched asymmetric graphene aerogel (GA) are immobilized. This designed confinement architecture not only redirects PMS-activated monoethanolamine (MEA) degradation from nonselective radical oxidation to a dominant high-valent iron-oxo (Fe(IV)═O) pathway but, more importantly, enables a synergistic mechanism coupling molecular preorganization with proton-electron coregulation. Specifically, spatial constraints within UiO-66─ZrFe cages enable MEA to orient its amino group (─NH

Indexed as

active species transitionadvanced oxidation processesconfinement strategyhigh‐valent iron–oxowastewater remediation

Identifiers

PMID41287897
PMCPMC12884791

What OpenQuestion holds

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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.