Evidence map›Paper›PMID 42223174›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2026

Compartmentalized Porosity in a Hydrogen-Bonded Organic Framework Enables High-Capacity C

Yan-Long Zhao, Xin Zhang, Xiang-Yu Li, Xuefeng Bai, Lu Liu, Jian-Rong Li

Abstract read
In one paragraph

Article in Advanced materials (Deerfield Beach, Fla.), 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

6 authors.

Yan-Long ZhaoState Key Laboratory of Materials Low-Carbon Recycling, Department of Chemical Engineering, College of Materials Science & Engineering, Beijing University of Technology, Beijing, PR China.
Xin ZhangState Key Laboratory of Materials Low-Carbon Recycling, Department of Chemical Engineering, College of Materials Science & Engineering, Beijing University of Technology, Beijing, PR China.ORCID https://orcid.org/0000-0001-9318-8839
Xiang-Yu LiState Key Laboratory of Materials Low-Carbon Recycling, Department of Chemical Engineering, College of Materials Science & Engineering, Beijing University of Technology, Beijing, PR China.
Xuefeng BaiState Key Laboratory of Materials Low-Carbon Recycling, Department of Chemical Engineering, College of Materials Science & Engineering, Beijing University of Technology, Beijing, PR China.
Lu LiuState Key Laboratory of Materials Low-Carbon Recycling, Department of Chemical Engineering, College of Materials Science & Engineering, Beijing University of Technology, Beijing, PR China.
Jian-Rong LiState Key Laboratory of Materials Low-Carbon Recycling, Department of Chemical Engineering, College of Materials Science & Engineering, Beijing University of Technology, Beijing, PR China.ORCID https://orcid.org/0000-0002-8101-8493

Funding

Beijing Outstanding Young Scientist Program JWZQ20240102008National Natural Science Foundation of China 22225803National Natural Science Foundation of China 22522801National Natural Science Foundation of China U25A20621
6 · The paper itself

Abstract

Hydrogen-bonded organic frameworks (HOFs) are promising adsorbents for gas separation, yet capacity breakthroughs are frequently limited by a pore-architecture trade-off in which increased pore volume is accompanied by cavity expansion and weakened confinement. Herein, we report HOF-BUT-1, constructed from an unprecedented 8-connected linker, resulting in compartmentalized porosity. This HOF thus combines high porosity (pore volume = 0.95 cm

Indexed as

adsorbentshydrogen‐bonded organic frameworksolefin separationpore architecture optimization

Identifiers

PMID42223174
PMCPMC13351799

What OpenQuestion holds

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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.