Evidence map›Paper›PMID 38611795›Full record

ArticleMolecules (Basel, Switzerland)2024

Construction of a Visible-Light-Response Photocatalysis-Self-Fenton Degradation System of Coupling Industrial Waste Red Mud to Resorcinol-Formaldehyde Resin.

Xiangxiu Lv, Hao Yuan, Kaiqu Sun, Weilong Shi, Chunsheng Li, Feng Guo

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
3.0field-weighted citation impact, top 8% of its field
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

2 citing papers in PubMed, 29 citations in OpenAlex.

  1. "Feature Papers in Photochemistry and Photocatalysis".Molecules (Basel, Switzerland) · 2025
    Article
  2. 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 at 2 institutions in 1 country.

Xiangxiu LvSchool of Material Science and Engineering, Jiangsu University of Science and Technology, Zhenjiang 212100, China.
Hao YuanSchool of Material Science and Engineering, Jiangsu University of Science and Technology, Zhenjiang 212100, China.
Kaiqu SunSchool of Material Science and Engineering, Jiangsu University of Science and Technology, Zhenjiang 212100, China.
Weilong ShiSchool of Material Science and Engineering, Jiangsu University of Science and Technology, Zhenjiang 212100, China.ORCID 0000-0002-4762-5599
Chunsheng LiKey Laboratory of Advanced Electrode Materials for Novel Solar Cells for Petroleum and Chemical Industry of China, School of Chemistry and Life Sciences, Suzhou University of Science and Technology, Suzhou 215009, China.
Feng GuoSchool of Energy and Power, Jiangsu University of Science and Technology, Zhenjiang 212100, China.
Jiangsu University of Science and Technology · CNSuzhou University of Science and Technology · CN

Funding

National Natural Science Foundation of China 22006057
6 · The paper itself

Abstract

Heterogeneous photocatalysis-self-Fenton technology is a sustainable strategy for treating organic pollutants in actual water bodies with high-fluent degradation and high mineralization capacity, overcoming the limitations of the safety risks caused by adding external iron sources and hazardous chemicals in the homogeneous Fenton reaction and injecting high-intensity energy fields in photo-Fenton reaction. Herein, a photo-self-Fenton system based on resorcinol-formaldehyde (RF) resin and red mud (RM) was established to generate hydrogen peroxide (H

Indexed as

antibiotic degradationin situ H2O2 productionphotocatalysis–self-Fentonred mudresorcinol–formaldehyde

Identifiers

PMID38611795
PMCPMC11013769
OpenAlexW4393278826

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.