Evidence map›Paper›PMID 41957009›Full record

ArticleNature communications2026

Heterointerface-engineered ZnO/CuO bimetallic sites enable pollutant-directed conversion with in situ catalyst regeneration.

Zhi-Quan Zhang, Xiao-Wei Xu, Pi-Jun Duan, Ying Shao, Que Wang, Zhi-Hao Qin, Chang-Wei Bai, Xin-Jia Chen, Jing Wang, Fu-Qiao Yang and 1 more

Abstract read
In one paragraph

Article in Nature communications, 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. Engineering Cu-doped BiVORSC advances · 2026
    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

11 authors.

Zhi-Quan Zhang *Key Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, College of Environment and Ecology, Chongqing University, Chongqing, China.
Xiao-Wei Xu *Key Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, College of Environment and Ecology, Chongqing University, Chongqing, China.
Pi-Jun Duan *Key Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, College of Environment and Ecology, Chongqing University, Chongqing, China.
Ying Shao *Key Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, College of Environment and Ecology, Chongqing University, Chongqing, China.ORCID 0000-0003-2348-2906
Que WangKey Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, College of Environment and Ecology, Chongqing University, Chongqing, China.
Zhi-Hao QinKey Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, College of Environment and Ecology, Chongqing University, Chongqing, China.
Chang-Wei BaiKey Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, College of Environment and Ecology, Chongqing University, Chongqing, China.
Xin-Jia ChenKey Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, College of Environment and Ecology, Chongqing University, Chongqing, China.
Jing WangKey Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, College of Environment and Ecology, Chongqing University, Chongqing, China.
Fu-Qiao YangKey Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, College of Environment and Ecology, Chongqing University, Chongqing, China.
Fei ChenKey Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, College of Environment and Ecology, Chongqing University, Chongqing, China. fchen0505@cqu.edu.cn.ORCID 0000-0002-8442-6134

Funding

National Natural Science Foundation of China (National Science Foundation of China) 52270149
6 · The paper itself

Abstract

Polymerization-based wastewater treatment offers reduced oxidant demand and product recovery, yet practical application is hindered by catalyst fouling and unselective reactions due to single-site competition. Here, we report a readily synthesized and scalable ZnO/CuO catalyst featuring dual functional sites that decouple pollutant and oxidant activation. Zn sites preferentially adsorb/activate organics, whereas Cu sites predominantly activate the oxidant. This site differentiation programs two pathway regimes governed by pollutant electronic structure: electron-transfer-mediated polymerization for electron-rich substrates and radical-induced mineralization for electron-deficient substrates. Importantly, radicals generated during mineralization depolymerize the accumulated foulant layer in situ, effecting autonomous catalyst regeneration with a 2.5-fold performance recovery and reduced external regeneration demand. Process performance is validated in a 200 L self-circulating reactor, maintaining 98% removal efficiency for both pollutant classes over ten cycles. Toxicological profiling across multiple biological models, supported by metabolomics, confirmed effective detoxification of multi-pollutant wastewater, including restoration of normal metabolic function in zebrafish (e.g., lipid and glutathione metabolism). This study establishes a dual-site cooperative catalysis framework that leverages intrinsic wastewater chemistry for self-regeneration, showcasing a complete trajectory from atomic-scale design to reactor-scale implementation.

Indexed as

CopperWater Pollutants, ChemicalWater PurificationZinc OxideAnimalsCatalysisPolymerizationWastewaterZebrafishCoppercupric oxideWastewaterWater Pollutants, ChemicalZinc Oxide

Identifiers

PMID41957009
PMCPMC13223246

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.