Evidence map›Paper›PMID 40376880›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2025

CO

Lin Yang, Yuanyuan Wang, Yongxiang Sun, Ruiquan Yu, Yifu Chu, Yuan Yao, Chenxu Liu, Ning Li, Lingyun Chen, Jifang Liu and 2 more

Abstract read
In one paragraph

Article in Advanced materials (Deerfield Beach, Fla.), 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. COAdvanced materials (Deerfield Beach, Fla.) · 2025
    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

12 authors.

Lin YangDepartment of Chemical and Materials Engineering, University of Alberta, Edmonton, T6G 1H9, Canada.ORCID https://orcid.org/0000-0001-8301-144X
Yuanyuan WangDepartment of Chemical and Materials Engineering, University of Alberta, Edmonton, T6G 1H9, Canada.
Yongxiang SunDepartment of Chemical and Materials Engineering, University of Alberta, Edmonton, T6G 1H9, Canada.
Ruiquan YuInstitute of Environment and Ecology, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, P. R. China.
Yifu ChuDepartment of Agricultural, Food, and Nutritional Science, University of Alberta, Edmonton, T6G 2P5, Canada.
Yuan YaoDepartment of Chemical and Materials Engineering, University of Alberta, Edmonton, T6G 1H9, Canada.
Chenxu LiuDepartment of Chemical and Materials Engineering, University of Alberta, Edmonton, T6G 1H9, Canada.
Ning LiDepartment of Chemical and Materials Engineering, University of Alberta, Edmonton, T6G 1H9, Canada.
Lingyun ChenDepartment of Agricultural, Food, and Nutritional Science, University of Alberta, Edmonton, T6G 2P5, Canada.
Jifang LiuCancer Center, The Fifth Affiliated Hospital, Guangzhou Medical University, Guangzhou, 510700, P. R. China.
Ziqian ZhaoDepartment of Chemical and Materials Engineering, University of Alberta, Edmonton, T6G 1H9, Canada.
Hongbo ZengDepartment of Chemical and Materials Engineering, University of Alberta, Edmonton, T6G 1H9, Canada.ORCID https://orcid.org/0000-0002-1432-5979

Funding

Canada Foundation for InnovationCanada Research Chairs ProgramChina Scholarship Council 202106240039Natural Sciences and Engineering Research Council of Canada
6 · The paper itself

Abstract

Ensuring drinking water safety remains a critical challenge, particularly when treating complex water sources, due to secondary pollution caused by active chemical additives. Herein, a novel CO

Indexed as

cation−π interactionCO2 responsivenatural organic mattersmart wood

Identifiers

PMID40376880
PMCPMC12306396

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.