Mitigating Cation Contamination in PEMFC Ionomers: Mechanisms and Strategies
Bibliographic record
Abstract
Abstract Proton exchange membrane fuel cells (PEMFCs) have gained growing attention due to their high energy efficiency and environmental benefits. However, their long-term performance is challenged by cation contaminants such as Co2+ and Fe2+. These species transport into the membrane electrode assembly and competitively occupy sulfonic acid sites in the ionomer, leading to chemical and structural degradation of both the membrane and catalyst layer (CL). Such interference affects ion conductivity, water management, oxygen transport, and consequently the overall fuel cell performance. This review presents a comprehensive overview of cation contaminant sources—including catalyst dissolution, trace impurities, radical scavengers, and leaching from system components—as well as their effects and transport mechanisms within the ionomer phase. Furthermore, this work discusses state-of-the-art mitigation strategies, including material design approaches aimed at restricting cation access, immobilizing cation contaminants, and reducing cation transport rate through the membrane and CL. This review provides a mechanistic foundation for future strategies to enhance the long-term performance of PEMFCs.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".