Evidence map›Paper›PMID 41926683›Full record

ReviewNano letters2026

Plasma-Driven Single-Atom Catalysis: From Synthesis to Catalytic Reactions.

Haifeng Qi, Weitao Wang, Xin Tu

Abstract readReview
In one paragraph

Review in Nano 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

3 authors.

Haifeng QiDepartment of Electrical Engineering and Electronics, University of Liverpool, Liverpool L69 3GJ, U.K.
Weitao WangDepartment of Electrical Engineering and Electronics, University of Liverpool, Liverpool L69 3GJ, U.K.
Xin TuDepartment of Electrical Engineering and Electronics, University of Liverpool, Liverpool L69 3GJ, U.K.ORCID 0000-0002-6376-0897

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The integration of nonthermal plasma (NTP) with single-atom catalysis has recently emerged as a highly promising yet largely unexplored frontier in heterogeneous catalysis. NTP generates highly nonequilibrium reaction environments rich in energetic electrons, radicals, and excited species, while single-atom catalysts (SACs) provide atomically precise active sites with tunable electronic structures and maximized metal utilization. The convergence of these two fields enables unconventional reaction pathways and catalytic behaviors that are not readily accessible under conventional thermal conditions. However, research in this area remains at an early stage, and a systematic understanding of plasma-driven single-atom catalysis (PSAC) is still lacking. In this Review, we provide a comprehensive overview of PSAC, with a particular focus on both plasma-assisted synthesis of SACs and plasma-driven catalytic reactions over isolated metal sites. We summarize recent advances in plasma-enabled atom dispersion, defect engineering, and stabilization strategies and discuss how plasma excitation fundamentally alters reaction mechanisms. Through critical analysis of current achievements and remaining challenges, this Review highlights key opportunities for future research and provides a conceptual framework for the rational design of PSAC systems. We anticipate that the insights presented herein will stimulate further exploration of PSAC synergy and accelerate the development of next-generation catalytic technologies for sustainable fuel and chemical production.

Indexed as

Fuel and chemical synthesisPlasma-assisted synthesisPlasma catalysisSingle-atom catalystSurface engineering

Identifiers

PMID41926683
PMCPMC13088368

What OpenQuestion holds

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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.