Evidence map›Paper›PMID 39771385›Full record

ArticlePolymers2024

Diamine Crosslinked Addition-Type Diblock Poly(Norbornene)s-Based Anion Exchange Membranes with High Conductivity and Stability for Fuel Cell Applications.

Quan Li, Xiaohui He, Ling Feng, Jia Ye, Wenjun Zhang, Longming Huang, Defu Chen

Abstract read
In one paragraph

Article in Polymers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Quan LiSchool of Physics and Materials Science, Nanchang University, 999 Xuefu Avenue, Nanchang 330031, China.
Xiaohui HeSchool of Physics and Materials Science, Nanchang University, 999 Xuefu Avenue, Nanchang 330031, China.ORCID 0000-0002-4650-4680
Ling FengSchool of Physics and Materials Science, Nanchang University, 999 Xuefu Avenue, Nanchang 330031, China.
Jia YeSchool of Physics and Materials Science, Nanchang University, 999 Xuefu Avenue, Nanchang 330031, China.
Wenjun ZhangSchool of Physics and Materials Science, Nanchang University, 999 Xuefu Avenue, Nanchang 330031, China.
Longming HuangSchool of Physics and Materials Science, Nanchang University, 999 Xuefu Avenue, Nanchang 330031, China.
Defu ChenSchool of Civil Engineering and Architecture, Nanchang University, 999 Xuefu Avenue, Nanchang 330031, China.

Funding

National Nature Science Foundation of China No.22268030National Nature Science Foundation of China No.51963015
6 · The paper itself

Abstract

Anion exchange membranes (AEMs) as a kind of important functional material are widely used in fuel cells. However, synthetic AEMs generally suffer from low conductivity, poor alkaline stability, and poor dimensional stability. Constructing efficient ion transport channels is widely regarded as one of the most effective strategies for developing AEMs with high conductivity and low swelling ratio. Herein we demonstrate a versatile strategy to prepare the AEMs with both high conductivity and excellent alkali stability via all-carbon hydrogen block copolymer backbone hydrophilic crosslinking and introducing flexible alkoxy spacer chains. Additionally, we investigated the impact of the crosslinking degree on the AEMs' performances. It was found that the dosage of the hydrophilic crosslinker has a significant impact on the construction of efficient ion transport channels in the AEMs. Amazingly, the CL30-aPNB-TMHDA-TMA exhibited the highest hydroxide conductivity (138.84 mS cm

Indexed as

alkaline stabilityanion exchange membranesconductivityflexible alkoxy spacerhydrophilic crosslinking

Identifiers

PMID39771385
PMCPMC11677948

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.