Evidence map›Paper›PMID 41657053›Full record

ArticleLangmuir : the ACS journal of surfaces and colloids2026

Sustainable CO

Zhenghao Shi, Man Hin Kwok, Yifeng Sheng, To Ngai

Abstract read
In one paragraph

Article in Langmuir : the ACS journal of surfaces and colloids, 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

4 authors.

Zhenghao ShiDepartment of Chemistry, The Chinese University of Hong Kong, Shatin, N. T., Hong Kong 999077, China.
Man Hin KwokDepartment of Chemistry, The Chinese University of Hong Kong, Shatin, N. T., Hong Kong 999077, China.
Yifeng ShengSchool of Chemistry, Chemical Engineering and Life Science, Wuhan University of Technology, Wuhan 430070, China.
To NgaiDepartment of Chemistry, The Chinese University of Hong Kong, Shatin, N. T., Hong Kong 999077, China.ORCID 0000-0002-7207-6878

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metal-organic frameworks (MOFs) offer high porosity and tunable chemistry, while practical applications are often hindered by their poor processability, low packing density, and inadequate mechanical stability when used in powder form. Shaping MOFs into monoliths could dramatically solve these limitations. However, traditional methods such as sol-gel synthesis, freeze-drying, casting, or templating often involve multiple steps or organic solvents, leading to structural collapse and loss of intrinsic porosity. To overcome the aforementioned challenges, herein we report a green, one-step strategy for fabricating hierarchically porous MOF monoliths via Pickering foam templating. By using hexanoic acid (HA) to in situ modulate the surface of CuO nanoparticles (NPs), ultrastable aqueous foams could be directly prepared while subsequently serving as templates for in situ MOF conversion and growth at the air-water interface. In this work, two typical MOF monoliths based on CuBDC and HKUST-1 were synthesized by this method without the use of surfactants, polymers, or harmful solvents. Besides, backbone materials, such as bacterial cellulose (BC), could subsequently be introduced as a reinforcing scaffold to improve mechanical integrity. Structural analyses revealed that the resulting CuBDC monoliths exhibited well-defined hollow spherical shells templated from the foam bubbles, and the incorporation of BC significantly enhanced compressive strength while preserving hierarchical porosity, although the excessive BC slightly caused pore collapse and surface area reduction. The monoliths showed great potential for CO

Identifiers

PMID41657053
PMCPMC12951622

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.