Evidence map›Paper›PMID 41710787›Full record

ArticleACS energy letters2026

Minimizing the Influence of Metal Contaminations for the Alkaline Hydrogen Evolution Reaction on Platinum.

Karen van den Akker, Hassan Javed, Julia Fernández-Vidal, Onno van der Heijden, Kees E Kolmeijer, Rik V Mom, Marc T M Koper

Abstract read
In one paragraph

Article in ACS energy letters, 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.

Karen van den AkkerLeiden Institute of Chemistry, Leiden University, Einsteinweg 55, 2333 CC Leiden, The Netherlands.ORCID https://orcid.org/0009-0006-7981-6361
Hassan JavedLeiden Institute of Chemistry, Leiden University, Einsteinweg 55, 2333 CC Leiden, The Netherlands.ORCID https://orcid.org/0000-0002-2867-8804
Julia Fernández-VidalLeiden Institute of Chemistry, Leiden University, Einsteinweg 55, 2333 CC Leiden, The Netherlands.
Onno van der HeijdenLeiden Institute of Chemistry, Leiden University, Einsteinweg 55, 2333 CC Leiden, The Netherlands.
Kees E KolmeijerLeiden Institute of Chemistry, Leiden University, Einsteinweg 55, 2333 CC Leiden, The Netherlands.
Rik V MomLeiden Institute of Chemistry, Leiden University, Einsteinweg 55, 2333 CC Leiden, The Netherlands.ORCID https://orcid.org/0000-0002-5111-5591
Marc T M KoperLeiden Institute of Chemistry, Leiden University, Einsteinweg 55, 2333 CC Leiden, The Netherlands.ORCID https://orcid.org/0000-0001-6777-4594

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The kinetics of alkaline water reduction on Pt can be strongly affected by the accumulation of impurities on the surface. Here, we demonstrate that such impurity effects can play a role even when the highest purity, pretreated NaOH electrolyte is used, which can lead to a misinterpretation of hydrogen evolution reaction (HER) activity trends. We show that the impurity accumulation time of a chosen electrochemical protocol plays a crucial role in the extent of surface contamination and the resulting drift in HER current. By incorporating intermittent surface cleaning into the measurement sequence, we effectively mitigated contamination accumulation effects. However, the HER activity still largely depends on the electrolyte impurity levels. We argue, therefore, that optimization of both the measurement method and the purity of the chemicals is essential for minimizing contamination effects and provide recommendations for employing this integrated approach to prevent systematic errors.

Identifiers

PMID41710787
PMCPMC12910646

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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.