Evidence map›Paper›PMID 30960187›Full record

ArticlePolymers2019

Enhanced Proton Conductivity in Sulfonated Poly(ether ether ketone) Membranes by Incorporating Sodium Dodecyl Benzene Sulfonate.

Shaoxiong Zhai, Wenxu Dai, Jun Lin, Shaojian He, Bing Zhang, Lin Chen

Abstract read
In one paragraph

Article in Polymers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Bio-BasedPolymers · 2022
    Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. 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

6 authors.

Shaoxiong ZhaiBeijing Key Laboratory of Energy Safety and Clean Utilization, North China Electric Power University, Beijing 102206, China. ncepuzhaisx@163.com.
Wenxu DaiBeijing Key Laboratory of Energy Safety and Clean Utilization, North China Electric Power University, Beijing 102206, China. dwx903005767@163.com.
Jun LinBeijing Key Laboratory of Energy Safety and Clean Utilization, North China Electric Power University, Beijing 102206, China. jun.lin@ncepu.edu.cn.
Shaojian HeBeijing Key Laboratory of Energy Safety and Clean Utilization, North China Electric Power University, Beijing 102206, China. heshaojian@ncepu.edu.cn.ORCID 0000-0002-4358-4662
Bing ZhangBeijing Key Laboratory of Energy Safety and Clean Utilization, North China Electric Power University, Beijing 102206, China. 51101868@ncepu.edu.cn.
Lin ChenBeijing Key Laboratory of Energy Safety and Clean Utilization, North China Electric Power University, Beijing 102206, China. chenlin@ncepu.edu.cn.ORCID 0000-0002-5250-533X

Funding

National Key Basic Research Program of China 2015CB932201National Natural Science Foundation of China 51773058 and 51776069
6 · The paper itself

Abstract

It is of great importance to improve the proton conductivity of proton exchange membranes by easy-handling and cost-efficient approaches. In this work, we incorporated a commercially obtained surfactant, sodium dodecyl benzene sulfonate (SDBS), into sulfonated poly(ether ether ketone) (SPEEK) through solution casting to prepare SPEEK/SDBS membranes. When no more than 10 wt % SDBS was added, the SDBS was well dissolved into the SPEEK matrix, and the activation energy for the proton transfer in the SPEEK/SDBS membranes was greatly reduced, leading to significant enhancement of the membrane proton conductivity. Compared with the SPEEK control membrane, the SPEEK/SDBS membrane with 10 wt % SDBS showed a 78% increase in proton conductivity, up from 0.051 S cm

Indexed as

proton conductivityproton exchange membranesodium dodecyl benzene sulfonatesulfonated poly(ether ether ketone)

Identifiers

PMID30960187
PMCPMC6418892

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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.