Constructing Nano-Trap of CO

Ye-Nan Bian, Xiao-Chao Feng, Si-Zhe Wang, Shan-Qing Yang, Dingming Xue, Ruihan Wang, Jian-Long Du

Abstract read

In one paragraph

Article in Small (Weinheim an der Bergstrasse, Germany), 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.

Ye-Nan BianKey Laboratory of Medicinal Chemistry and Molecular Diagnosis of Ministry of Education, Key Laboratory of Chemical Biology of Hebei Province, College of Chemistry and Materials Science, Hebei University, Baoding, China.

Xiao-Chao FengKey Laboratory of Medicinal Chemistry and Molecular Diagnosis of Ministry of Education, Key Laboratory of Chemical Biology of Hebei Province, College of Chemistry and Materials Science, Hebei University, Baoding, China.

Si-Zhe WangKey Laboratory of Medicinal Chemistry and Molecular Diagnosis of Ministry of Education, Key Laboratory of Chemical Biology of Hebei Province, College of Chemistry and Materials Science, Hebei University, Baoding, China.

Shan-Qing YangKey Laboratory of Medicinal Chemistry and Molecular Diagnosis of Ministry of Education, Key Laboratory of Chemical Biology of Hebei Province, College of Chemistry and Materials Science, Hebei University, Baoding, China.

Dingming XueNanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing, China.

Ruihan WangLow Carbon Conversion and Innovation Research Institute, Chemical Engineering College, Hebei Normal University of Science and Technology, Qinhuangdao, China.

Jian-Long DuKey Laboratory of Medicinal Chemistry and Molecular Diagnosis of Ministry of Education, Key Laboratory of Chemical Biology of Hebei Province, College of Chemistry and Materials Science, Hebei University, Baoding, China.ORCID https://orcid.org/0000-0002-3890-0966

Funding

Central Government Guide Local Science and Technology Development Fund 246Z1503GHebei University High-level Talent Research Program 521100224237

6 · The paper itself

Abstract

High purity methane is highly necessary for improving its conversion efficiency, but the one-step purification faces significant challenges due to the presence of bottleneck effects. In the present work, an anion-pillared MOF (HBU-26) was synthesized by self-assembly of organic ligand (L = 1,1,2,2-tetra(pyridin-4-yl)ethene) and CdSO

Indexed as

anion pillared MOFnano trapone step CH4 purificationquaternary gas mixture

Identifiers

PMID42335334

DOI10.1002/smll.74321

PMCPMC13472300

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.