Evidence map›Paper›PMID 39974469›Full record

ArticleChem & bio engineering2024

Hydration/Dehydration Induced Reversible Transformation between a Porous Hydrogen-Bonded Organic Framework and a Nonporous Molecular Crystal for Highly Efficient Gas Dehydration.

Yao Wang, Xiyu Song, Guanglai Mo, Xiangyu Gao, Enyu Wu, Bin Li, Yunbo Bi, Peng Li

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Article in Chem & bio engineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

8 authors.

Yao WangShanghai Key Laboratory of Molecular Catalysis and Innovative Materials, Department of Chemistry, Fudan University, 2005 Songhu Road, Shanghai 200438, P. R. China.ORCID https://orcid.org/0000-0002-0378-1805
Xiyu SongShanghai Key Laboratory of Molecular Catalysis and Innovative Materials, Department of Chemistry, Fudan University, 2005 Songhu Road, Shanghai 200438, P. R. China.ORCID https://orcid.org/0000-0002-0208-8259
Guanglai MoShanghai Key Laboratory of Molecular Catalysis and Innovative Materials, Department of Chemistry, Fudan University, 2005 Songhu Road, Shanghai 200438, P. R. China.
Xiangyu GaoShanghai Key Laboratory of Molecular Catalysis and Innovative Materials, Department of Chemistry, Fudan University, 2005 Songhu Road, Shanghai 200438, P. R. China.
Enyu WuState Key Laboratory of Silicon Materials, School of Materials Science and Engineering, Zhejiang University, Hang-zhou 310027 China.
Bin LiState Key Laboratory of Silicon Materials, School of Materials Science and Engineering, Zhejiang University, Hang-zhou 310027 China.ORCID https://orcid.org/0000-0002-7774-5452
Yunbo BiShanghai Key Laboratory of Molecular Catalysis and Innovative Materials, Department of Chemistry, Fudan University, 2005 Songhu Road, Shanghai 200438, P. R. China.
Peng LiShanghai Key Laboratory of Molecular Catalysis and Innovative Materials, Department of Chemistry, Fudan University, 2005 Songhu Road, Shanghai 200438, P. R. China.ORCID https://orcid.org/0000-0002-4273-4577

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gas dehydration is a critical process in gas transportation and chemical reactions, yet traditional drying agents require an energy-intensive dehydration and regeneration step. Here, we present a nonporous molecular crystal called Melem that can be synthesized and scaled up through solid-state synthesis methods. Melem exhibits exceptional water selectivity in gas dehydration and can be reactivated under moderate conditions. According to the single-crystal structure and powder X-ray diffraction studies, a reversible structural transformation between Melem and its hydrated form, Melem-H

Identifiers

PMID39974469
PMCPMC11835148

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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.