Evidence map›Paper›PMID 42702609›Full record

ArticleNature communications2026

Selective and autonomous generation of singlet oxygen for synergistic heavy metal-organic removal without energy input.

Jiajing Zhu, Yangsi Liu, Xiaoli Xi, Xiaobo Sun, Jiali Chen, Yahui Zhao, Zuoren Nie

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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Jiajing ZhuState Key Laboratory of Materials Low-Carbon Recycling, Beijing University of Technology, Beijing, China.
Yangsi LiuState Key Laboratory of Materials Low-Carbon Recycling, Beijing University of Technology, Beijing, China.
Xiaoli XiState Key Laboratory of Materials Low-Carbon Recycling, Beijing University of Technology, Beijing, China. xixiaoli@bjut.edu.cn.ORCID http://orcid.org/0000-0002-7669-4542
Xiaobo SunState Key Laboratory of Materials Low-Carbon Recycling, Beijing University of Technology, Beijing, China.
Jiali ChenState Key Laboratory of Radiation Medicine and Protection, School for Radiological and Interdisciplinary Sciences (RAD-X), Collaborative Innovation Center of Radiation Medicine of Jiangsu Higher Education Institutions, Soochow University, Suzhou, China.
Yahui ZhaoState Key Laboratory of Materials Low-Carbon Recycling, Beijing University of Technology, Beijing, China.
Zuoren NieState Key Laboratory of Materials Low-Carbon Recycling, Beijing University of Technology, Beijing, China. zrnie@bjut.edu.cn.ORCID http://orcid.org/0000-0001-9622-2318

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A fundamental challenge across environmental catalysis is the reliance on external energy or chemical inputs to drive detoxification reactions. Here, we transcend this limitation with a pollutant-driven framework, demonstrated by a variable-valent molybdenum oxide (MoO

Identifiers

PMID42702609
PMCPMC13547224

What OpenQuestion holds

Textmetadata
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.