Evidence map›Paper›PMID 40640206›Full record

ArticleNature communications2025

Pathways and selectivity of Fenton degradation of different precursor species of dissolved organic matter.

Qi Chen, Fan Lü, Junjie Qiu, Hua Zhang, Pinjing He

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

5 authors.

Qi ChenInstitute of Waste Treatment & Reclamation, College of Environmental Science and Engineering, Tongji University, Shanghai, China.
Fan LüInstitute of Waste Treatment & Reclamation, College of Environmental Science and Engineering, Tongji University, Shanghai, China.ORCID http://orcid.org/0000-0002-8496-3941
Junjie QiuInstitute of Waste Treatment & Reclamation, College of Environmental Science and Engineering, Tongji University, Shanghai, China.ORCID http://orcid.org/0000-0001-7060-9960
Hua ZhangInstitute of Waste Treatment & Reclamation, College of Environmental Science and Engineering, Tongji University, Shanghai, China.
Pinjing HeInstitute of Waste Treatment & Reclamation, College of Environmental Science and Engineering, Tongji University, Shanghai, China. solidwaste@tongji.edu.cn.ORCID http://orcid.org/0000-0002-7105-7376

Funding

National Natural Science Foundation of China (National Science Foundation of China) 22076145
6 · The paper itself

Abstract

Fenton has become one of the dominant technologies for the treatment of recalcitrantly degradable wastewater. Fenton reaction inevitably generates massive amounts of secondary dissolved organic matter (DOM). However, the pathways and selectivity of reaction remain unclear when Fenton is applied in a complex environmental system with different DOM molecules. Here, we design five levels of Fenton reactions based on typical precursor monomers of different DOM species and their stable isotope-labeled monomers combined with actual DOM media. The molecular information of the Fenton-derived DOM for all reactions is obtained based on ultra-high resolution mass spectrometry. The exact mass difference calculations demonstrate that Fenton degrades eight DOM precursor species by different pathways. The temporal gradient changes in the co-molecular characteristics of the Fenton-derived DOM between individual monomer reactions and gradient mixed monomer reactions confirm Fenton degradation selectivity toward eight DOM precursor species. These findings may provide a theoretical basis for using the Fenton process in the targeted degradation of organics.

Identifiers

PMID40640206
PMCPMC12246252

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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.