Evidence map›Paper›PMID 41726756›Full record

ArticleACS omega2026

Secondary Electron Hyperspectral Imaging (SEHI) in FIB - SEM for Proton Exchange Membrane Fuel Cells Technology.

Nicholas T H Farr, Martha Briceno de Gutierrez, Mark S'ari, Ben Garton, Jingqiong Zhang, Lyudmila S Mihaylova, Cornelia Rodenburg

Abstract read
In one paragraph

Article in ACS omega, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

7 authors.

Nicholas T H FarrSchool of Chemical, Materials and Biological Engineering, University of Sheffield, Sheffield S1 3JD, U.K.ORCID https://orcid.org/0000-0001-6761-3600
Martha Briceno de GutierrezJohnson Matthey Technology Centre, Sonning Common RG4 9NH, U.K.
Mark S'ariJohnson Matthey Technology Centre, Sonning Common RG4 9NH, U.K.
Ben GartonSchool of Chemical, Materials and Biological Engineering, University of Sheffield, Sheffield S1 3JD, U.K.
Jingqiong ZhangSchool of Electrical and Electronic Engineering, The University of Sheffield, Sheffield S1 3JD, U.K.
Lyudmila S MihaylovaSchool of Electrical and Electronic Engineering, The University of Sheffield, Sheffield S1 3JD, U.K.ORCID https://orcid.org/0000-0001-5856-2223
Cornelia RodenburgSchool of Chemical, Materials and Biological Engineering, University of Sheffield, Sheffield S1 3JD, U.K.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The performance of proton exchange membrane (PEM) fuel cells critically depends on the microstructure and chemistry of their constituent materials, particularly the catalyst layer (CL), carbon black (CB), ionomer films, and reinforced membranes. However, the highly heterogeneous and nanoscale nature of these components presents significant challenges for existing characterization techniques. This study explores the application of Secondary Electron Hyperspectral Imaging (SEHI) in focused ion beam-scanning electron microscopy (FIB-SEM) to address these limitations. SEHI uniquely integrates chemical sensitivity, surface specificity, and nanoscale spatial resolution, enabling detailed insights into key functional materials. Carbon black analysis revealed the spatial distribution of graphitised regions and surface functional groups, such as CO bonding, which are critical for optimizing electron transport and catalyst stability. For ionomer films and membranes, SEHI identified and mapped chemical differences between the ionomer matrix and its polybenzimidazole (PBI) reinforcement, distinguishing nitrogen species and surface functionalities. This capability facilitates a deeper understanding of how membrane composition and structure influence conductivity and durability. The results demonstrate SEHI's potential as a transformative tool for the nanoscale characterization of PEM fuel cell components, providing critical insights for the design and optimization of high-performance, durable fuel cells.

Identifiers

PMID41726756
PMCPMC12917646

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.