ArticleNature communications2025
Intrinsic strain of defect sites steering chlorination reaction for water purification.
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.
What it found
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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.
The trial behind it
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Who cites it
4 citing papers in PubMed.
- Upcycling Water Pollutants Into Long-Chain Polymers via Synergistic Interfacial Dechlorination and Organic Radical Stabilization.Angewandte Chemie (International ed. in English) · 2026Article
- Fluorinated Cobalt Sites Enable Solar-Enhanced Neutral Active Chlorine Electrosynthesis for In Situ Seawater Purification.Angewandte Chemie (International ed. in English) · 2026Article
- Strain‒induced spin regulation of stepped Co(111) for boosting peracetic acid magnetocatalysis.Nature communications · 2026Article
- Axially engineered single atoms in enzyme-mimic-binding pocket steering dehalogenation-polymerization pathways toward water pollutant upcycling.Nature communications · 2026Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Carbon nanotube (CNT)-based heterogeneous advanced oxidation processes (AOPs) used for water purification have been exploited for several decades. Many strategies for modifying CNTs have been utilized to improve their catalytic performance in remediation processes. However, the strain fields of the intrinsic defect sites on CNT steering AOPs (such as chlorination) have not yet been reported. Here, we explored the strained defect sites for steering the chlorination process for water purification. The strained defect sites with the elongated sp
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Registered trials
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.