Evidence map›Paper›PMID 39121217›Full record

ArticleScience advances2024

Microporous polyarylate membranes based on 3D phenolphthalein for molecular sieving.

Ayan Yao, Junjun Hou, Pengjia Dou, Jingcheng Du, Qian Sun, Ziye Song, Linghao Liu, Jian Guan, Jiangtao Liu

Abstract read
In one paragraph

Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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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

9 authors.

Ayan YaoDepartment of Environmental Science and Engineering, University of Science and Technology of China, 230052, China.ORCID 0009-0006-4975-1974
Junjun HouDepartment of Environmental Science and Engineering, University of Science and Technology of China, 230052, China.
Pengjia DouDepartment of Environmental Science and Engineering, University of Science and Technology of China, 230052, China.
Jingcheng DuDepartment of Environmental Science and Engineering, University of Science and Technology of China, 230052, China.
Qian SunDepartment of Environmental Science and Engineering, University of Science and Technology of China, 230052, China.
Ziye SongDepartment of Environmental Science and Engineering, University of Science and Technology of China, 230052, China.
Linghao LiuDepartment of Environmental Science and Engineering, University of Science and Technology of China, 230052, China.
Jian GuanDepartment of Environmental Science and Engineering, University of Science and Technology of China, 230052, China.
Jiangtao LiuDepartment of Environmental Science and Engineering, University of Science and Technology of China, 230052, China.ORCID 0000-0002-4569-7169

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thin-film composite (TFC) membranes have gradually replaced some traditional technologies in the extraction, separation, and concentration of high value-added pharmaceutical ingredients due to their controllable microstructure. Nevertheless, devising solvent-stable, scalable TFC membranes with high permeance and efficient molecule selectivity is urgently needed to improve the separation efficiency in the separation process. Here, we propose phenolphthalein, a commercial acid-base indicator, as an economical monomer for optimizing the micropore structure of selective layers with thickness down to 30 nanometers formed by in situ interfacial reactions. Molecular dynamics simulations indicate that the polyarylate membranes prepared using three-dimensional phenolphthalein monomers exhibit tunable microporosity and higher pore interconnectivity. Moreover, the TFC membranes show a high methanol permeance (9.9 ± 0.1 liters per square meter per hour per bar) and small molecular weight cutoff (≈289 daltons) for organic micropollutants in organic solvent systems. The polyarylate membranes exhibit higher mechanical strength (2.4 versus 0.8 gigapascals) compared to the traditional polyamide membrane.

Identifiers

PMID39121217
PMCPMC11313862

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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.