Evidence map›Paper›PMID 42657211›Full record

ReviewChemical & biomedical imaging2026

Electrochemiluminescence Imaging for In Situ Electrocatalysis Characterization: Recent Progress and Mechanistic Insights.

Shiyu Zhang, Hongye Wang, Alaa A Salem, Yang Liu

Abstract readReview
In one paragraph

Review in Chemical & biomedical imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Shiyu ZhangDepartment of Chemistry, Beijing Key Laboratory for Analytical Methods and Instrumentation, Key Lab of Bioorganic Phosphorus Chemistry and Chemical Biology of Ministry of Education, Tsinghua University, Beijing 100084, China.
Hongye WangInstitute of Materials, China Academy of Engineering Physics, Mianyang 621900, China.
Alaa A SalemDepartment of Chemistry, College of Science, United Arab Emirates University, Al Ain 15551, United Arab Emirates.ORCID https://orcid.org/0000-0002-3201-9852
Yang LiuDepartment of Chemistry, Beijing Key Laboratory for Analytical Methods and Instrumentation, Key Lab of Bioorganic Phosphorus Chemistry and Chemical Biology of Ministry of Education, Tsinghua University, Beijing 100084, China.ORCID https://orcid.org/0000-0003-0042-5183

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electrochemiluminescence (ECL) imaging has emerged as a powerful optical microscopy technique due to its high sensitivity and exceptional spatiotemporal resolution. When integrated with electrocatalysis, ECL imaging serves as a promising in situ tool for characterizing catalytic processes. In this Perspective, we first introduce the signal transduction principles of ECL imaging tailored for electrocatalysis. Subsequently, we systematically summarize its diverse applications, ranging from the real-time monitoring of catalytic interfaces and high-throughput screening of single catalysts to the evaluation of subparticle heterogeneity. Notably, we also discuss how ECL imaging provides refined mechanistic insights into catalytic activity, surpassing the capabilities of traditional methods. Finally, current challenges and future perspectives are discussed, aiming to provide a roadmap for the further development of ECL imaging in uncovering complex catalytic mechanisms.

Indexed as

dynamic evolutionelectrocatalysiselectrochemiluminescence imaginghigh-throughput screenin situ characterizationsingle particlespatiotemporally resolvedsubparticle

Identifiers

PMID42657211
PMCPMC13508116

What Socratic holds

Textmetadata
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 Socratic graph.