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

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.

Authors

Institutions

Publication Details

Journal
ACS Omega
Published
2026-02-03
DOI
https://doi.org/10.1021/acsomega.5c09325
Primary Topic
Fuel Cells and Related Materials
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Cornelia Rodenburg, Lyudmila Mihaylova, Jingqiong Zhang, Mark S’ari et al.
ACS Omega
Fuel Cells and Related Materials
article

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

Cornelia Rodenburg, Lyudmila Mihaylova, Jingqiong Zhang, Mark S’ari, Ben GARTON, Nicholas T. H. Farr, Martha Briceno de Gutierrez
article en

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.

ACS OmegaVol. 11(6)
Johnson Matthey (Germany) (DE), Biological E (India) (IN), Technology Centre Prague (CZ), University of Sheffield (GB)
Openalex Percentile: Top 68%
Fuel Cells and Related Materials
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.