Evidence map›Paper›PMID 42910484›Full record

ReviewChemical Society reviews2026

Identical-location electron microscopy for the discovery of heterogeneous catalysts' dynamics at the single-particle level.

Yifan Chen, Jesum Alves Fernandes, Andrei N Khlobystov

Abstract readReview
In one paragraph

Review in Chemical Society reviews, 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

3 authors.

Yifan ChenSchool of Chemistry, University of Nottingham, NG7 2RD, UK. Andrei.Khlobystov@nottingham.ac.uk.ORCID http://orcid.org/0000-0001-8060-8216
Jesum Alves FernandesSchool of Chemistry, University of Nottingham, NG7 2RD, UK. Andrei.Khlobystov@nottingham.ac.uk.ORCID http://orcid.org/0000-0002-0468-7343
Andrei N KhlobystovSchool of Chemistry, University of Nottingham, NG7 2RD, UK. Andrei.Khlobystov@nottingham.ac.uk.ORCID http://orcid.org/0000-0001-7738-4098

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding how heterogeneous catalysts evolve at the single-particle level is central to advancing modern industrial chemistry and energy conversion technologies. However, conventional characterisation techniques provide only ensemble-averaged information, obscuring the structural diversity and dynamic behaviour that govern catalytic performance. In particular, individual nanoparticles can follow distinct evolution pathways under reaction conditions, making it challenging to establish clear structure-property relationships. Identical-location electron microscopy (IL-EM) has emerged as a powerful approach to overcome these limitations by enabling the direct tracking of the same catalyst particle across different stages of a reaction. By preserving spatiotemporal continuity, IL-EM provides particle-resolved insights into single-particle events such as coalescence, dissolution, restructuring, and compositional changes, while avoiding radiolysis damage during the reaction stage. This capability allows reconstruction of catalyst evolution pathways with atomic-scale precision under realistic operating conditions, without the need for specialised EM equipment or software. This review critically examines recent advances in IL-EM methodologies, including experimental workflows, correlative spectroscopy, and applications in thermal and electrochemical catalysis, as well as emerging applications for photocatalysis. Particular emphasis is placed on how IL-EM reveals mechanistic insights that are inaccessible through conventional ensemble-averaging techniques, and workflows correlating IL-EM with other local-probe and macroscale characterisation methods. Finally, we discuss current challenges, including limited time resolution, experimental labour intensity, and statistical considerations, alongside emerging opportunities, such as automation, artificial intelligence (AI)-assisted analysis, and multimodal characterisation. These developments are expected to transform IL-EM into a high-throughput and widely accessible tool. As such, IL-EM is poised to play a key role in establishing quantitative design principles for next-generation heterogeneous catalysts.

Identifiers

PMID42910484
PMCPMC13688316

What OpenQuestion 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 OpenQuestion graph.