Evidence map›Paper›PMID 34833189›Full record

ReviewPolymers2021

Anion Exchange Membranes with 1D, 2D and 3D Fillers: A Review.

Riccardo Narducci, Emanuela Sgreccia, Philippe Knauth, Maria Luisa Di Vona

Abstract readReview
In one paragraph

Review in Polymers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. 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

4 authors.

Riccardo NarducciDepartment Industrial Engineering and International Laboratory "Ionomer Materials for Energy", University of Rome Tor Vergata, I-00133 Rome, Italy.ORCID 0000-0002-3220-0336
Emanuela SgrecciaDepartment Industrial Engineering and International Laboratory "Ionomer Materials for Energy", University of Rome Tor Vergata, I-00133 Rome, Italy.ORCID 0000-0003-4756-9205
Philippe KnauthCNRS, Madirel (UMR 7246) and International Laboratory "Ionomer Materials for Energy", Aix Marseille University, F-13013 Marseille, France.ORCID 0000-0001-6335-3194
Maria Luisa Di VonaDepartment Industrial Engineering and International Laboratory "Ionomer Materials for Energy", University of Rome Tor Vergata, I-00133 Rome, Italy.ORCID 0000-0002-2909-6056

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hydroxide exchange membrane fuel cells (AEMFC) are clean energy conversion devices that are an attractive alternative to the more common proton exchange membrane fuel cells (PEMFCs), because they present, among others, the advantage of not using noble metals like platinum as catalysts for the oxygen reduction reaction. The interest in this technology has increased exponentially over the recent years. Unfortunately, the low durability of anion exchange membranes (AEM) in basic conditions limits their use on a large scale. We present in this review composite AEM with one-dimensional, two-dimensional and three-dimensional fillers, an approach commonly used to enhance the fuel cell performance and stability. The most important filler types, which are discussed in this review, are carbon and titanate nanotubes, graphene and graphene oxide, layered double hydroxides, silica and zirconia nanoparticles. The functionalization of the fillers is the most important key to successful property improvement. The recent progress of mechanical properties, ionic conductivity and FC performances of composite AEM is critically reviewed.

Indexed as

AEMFCscarbon dotscarbon nanotubesgraphene oxideLDHMOFsilicazirconia

Identifiers

PMID34833189
PMCPMC8622584

What OpenQuestion holds

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Registered trials

None linked

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.